Research
 

Conferences

All Work

A Family of Robust Stochastic Operators for Reinforcement Learning
A Family of Robust Stochastic Operators for Reinforcement Learning
NeurIPS
 
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
AAAI
 
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
AAAI
 
Personalized Dialogue Generation with Persona-Adaptive Attention
Personalized Dialogue Generation with Persona-Adaptive Attention
AAAI
 
Efficient technique improves machine-learning models’ reliability
Efficient technique improves machine-learning models’ reliability
MIT News
↗
3D Concept Grounding on Neural Fields
3D Concept Grounding on Neural Fields
NeurIPS
 
Learning Neural Acoustic Fields
Learning Neural Acoustic Fields
NeurIPS
 
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
NeurIPS
 
Learning Active Camera for Multi-Object Navigation
Learning Active Camera for Multi-Object Navigation
NeurIPS
 
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
NeurIPS
 
Fairness Reprogramming
Fairness Reprogramming
NeurIPSAI Fairness
 
The Missing Invariance Principle found — the Reciprocal Twin of Invariant Risk Minimization
The Missing Invariance Principle found — the Reciprocal Twin of Invariant Risk Minimization
NeurIPS
 
S3-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint
S3-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint
NeurIPSComputer Vision
 
Advancing Model Pruning via Bi-level Optimization
Advancing Model Pruning via Bi-level Optimization
NeurIPSOptimization
 
Deep Differentiable Logic Gate Networks
Deep Differentiable Logic Gate Networks
NeurIPS
 
Factored Adaptation for Non-stationary Reinforcement Learning
Factored Adaptation for Non-stationary Reinforcement Learning
NeurIPSReinforcement Learning
 
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
NeurIPS
 
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
NeurIPS
 
Domain Adaptation meets Individual Fairness. And they get along
Domain Adaptation meets Individual Fairness. And they get along
NeurIPSAI Fairness
 
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
NeurIPS
 
Convergent representations of computer programs in human and artificial neural networks
Convergent representations of computer programs in human and artificial neural networks
NeurIPSNeuroscience
 
Learning Physical Dynamics with Subequivariant Graph Neural Networks
Learning Physical Dynamics with Subequivariant Graph Neural Networks
NeurIPS
 
Redeeming Intrinsic Rewards via Constrained Optimization
Redeeming Intrinsic Rewards via Constrained Optimization
NeurIPSOptimization
 
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
NeurIPS
 
Faster Linear Algebra for Distance Matrices
Faster Linear Algebra for Distance Matrices
NeurIPS
 
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
NeurIPS
 
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens
Computer VisionNeurIPS
 
FETA: Towards Specializing Foundation Models for Expert Task Applications
FETA: Towards Specializing Foundation Models for Expert Task Applications
NeurIPS
 
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
NeurIPS
 
Procedural Image Programs for Representation Learning
Procedural Image Programs for Representation Learning
NeurIPS
 
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
NeurIPS
 
On-Device Training Under 256KB Memory
On-Device Training Under 256KB Memory
NeurIPS
 
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
Computer VisionNeurIPS
 
SNAKE: Shape-aware Neural 3D Keypoint Field
SNAKE: Shape-aware Neural 3D Keypoint Field
NeurIPS
 
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs
MIT News
↗
Debugging foundation models for bias
Debugging foundation models for bias
IBM Research
↗
A simpler path to better computer vision
A simpler path to better computer vision
MIT News
↗
A far-sighted approach to machine learning
A far-sighted approach to machine learning
MIT News
↗
This AI can harness sound to reveal the structure of unseen spaces
This AI can harness sound to reveal the structure of unseen spaces
Popular Science
↗
Perceptron: AI that sees with sound, learns to walk and predicts seismic physics
Perceptron: AI that sees with sound, learns to walk and predicts seismic physics
TechCrunch
↗
In machine learning, synthetic data can offer real performance improvements
In machine learning, synthetic data can offer real performance improvements
MIT News
↗
Self-supervised classification network
Self-supervised classification network
ECCV
 
A broad study of pre-training for domain generalization and adaptation
A broad study of pre-training for domain generalization and adaptation
ECCV
 
A unified framework for domain adaptive pose estimation
A unified framework for domain adaptive pose estimation
ECCV
 
Learning on the edge
Learning on the edge
MIT News
↗
Converting several audio streams into one voice makes it easier for AI to learn
Converting several audio streams into one voice makes it easier for AI to learn
IBM Research
↗
Context-Specific Representation Abstraction for Deep Option Learning
Context-Specific Representation Abstraction for Deep Option Learning
AAAI
 
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
ICML
 
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
ICML
 
Differentiable Top-k Classification Learning
Differentiable Top-k Classification Learning
ICML
 
Entropic Causal Inference: Graph Identifiability
Entropic Causal Inference: Graph Identifiability
ICML
 
Selective Regression under Fairness Criteria
Selective Regression under Fairness Criteria
ICML
 
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
ICML
 
Prompting Decision Transformer for Few-shot Policy Generalization
Prompting Decision Transformer for Few-shot Policy Generalization
ICML
 
CONTENTVEC: An Improved Self-Supervised Speech Representation by Disentangling Speakers
CONTENTVEC: An Improved Self-Supervised Speech Representation by Disentangling Speakers
ICML
 
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
ICML
 
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
ICML
 
More Language, Less Labeling with Kate Saenko
More Language, Less Labeling with Kate Saenko
This Week in Machine Learning & AI (TWIML) podcast
↗
A safer, lower-cost alternative to real data for pretraining computer vision models
A safer, lower-cost alternative to real data for pretraining computer vision models
IBM Research blog
↗
MIT engineers devise a recipe for improving any autonomous robotic system
MIT engineers devise a recipe for improving any autonomous robotic system
MIT News
↗
Keeping web-browsing data safe from hackers
Keeping web-browsing data safe from hackers
MIT News
↗
Hallucinating to better text translation
Hallucinating to better text translation
MIT News
↗
On the road to cleaner, greener, and faster driving
On the road to cleaner, greener, and faster driving
MIT News
↗
Artificial intelligence system learns concepts shared across video, audio, and text
Artificial intelligence system learns concepts shared across video, audio, and text
MIT News
↗
Adversarial Support Alignment
Adversarial Support Alignment
ICLR
 
Data-Efficient Graph Grammar Learning for Molecular Generation
Data-Efficient Graph Grammar Learning for Molecular Generation
ICLR
 
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
ICLR
 
Can an Image Classifier Suffice For Action Recognition?
Can an Image Classifier Suffice For Action Recognition?
ICLR
 
RegionViT: Regional-to-Local Attention for Vision Transformers
RegionViT: Regional-to-Local Attention for Vision Transformers
ICLR
 
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
ICLRReinforcement Learning
 
Bi-linear Value Networks for Multi-goal Reinforcement Learning
Bi-linear Value Networks for Multi-goal Reinforcement Learning
ICLR
 
Overcoming The Spectral Bias of Neural Value Approximation
Overcoming The Spectral Bias of Neural Value Approximation
ICLR
 
Neural Parameter Allocation Search
Neural Parameter Allocation Search
ICLR
 
Extending the WILDS Benchmark for Unsupervised Adaptation
Extending the WILDS Benchmark for Unsupervised Adaptation
ICLR
 
Network Augmentation for Tiny Deep Learning
Network Augmentation for Tiny Deep Learning
ICLR
 
Multi-Critic Actor Learning: Teaching RL Policies to Act with Style
Multi-Critic Actor Learning: Teaching RL Policies to Act with Style
ICLR
 
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
ICLR
 
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
ICLR
 
Optimizer Amalgamation
Optimizer Amalgamation
ICLR
 
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
ICLR
 
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
ICLR
 
Topological Experience Replay
Topological Experience Replay
ICLR
 
Linking Emergent and Natural Languages via Corpus Transfer
Linking Emergent and Natural Languages via Corpus Transfer
ICLR
 
Monotonic Differentiable Sorting Networks
Monotonic Differentiable Sorting Networks
ICLR
 
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
ICLR
 
Controlling Directions Orthogonal to a Classifier
Controlling Directions Orthogonal to a Classifier
ICLR
 
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
ICLR
 
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
ICLR
 
Does this artificial intelligence think like a human?
Does this artificial intelligence think like a human?
MIT News
↗
Generating new molecules with graph grammar
Generating new molecules with graph grammar
MIT News
↗
Solving the challenges of robotic pizza-making
Solving the challenges of robotic pizza-making
MIT News
↗
Better learning through ‘complex dough-manipulation’
Better learning through ‘complex dough-manipulation’
Tech Crunch
↗
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Reverse Engineering of Imperceptible Adversarial Image Perturbations
ICLR
 
CAMPS: Learning Context Specific Abstraction for Efficient Planning in Factored MDPs
CAMPS: Learning Context Specific Abstraction for Efficient Planning in Factored MDPs
CoRLRobotics
 
Reinforcement Learning for Classical Planning: Viewing Heuristics As Dense Reward Generators
Reinforcement Learning for Classical Planning: Viewing Heuristics As Dense Reward Generators
ICAPS
 
Temporal and Object Quantification Networks
Temporal and Object Quantification Networks
IJCAI
 
Neuro-symbolic AI brings us closer to machines with common sense
Neuro-symbolic AI brings us closer to machines with common sense
BD TechTalks
↗
Using artificial intelligence to find anomalies hiding in massive datasets
Using artificial intelligence to find anomalies hiding in massive datasets
MIT News
↗
TinyML is bringing neural networks to small microcontrollers
TinyML is bringing neural networks to small microcontrollers
TechTalks
↗
Clever Compression of Some Neural Nets Improves Performance
Clever Compression of Some Neural Nets Improves Performance
IEEE Spectrum
↗
AI Researchers Fight Noise by Turning to Biology
AI Researchers Fight Noise by Turning to Biology
Quanta Magazine
↗
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
NeurIPS
 
Object DGCNN: 3D Object Detection using Dynamic Graphs
Object DGCNN: 3D Object Detection using Dynamic Graphs
NeurIPS
 
Efficient Generalization with Distributionally Robust Learning
Efficient Generalization with Distributionally Robust Learning
NeurIPS
 
Learning to Delegate for Large-scale Vehicle Routing
Learning to Delegate for Large-scale Vehicle Routing
NeurIPS
 
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
NeurIPS
 
Grammar-Based Grounded Lexicon Learning
Grammar-Based Grounded Lexicon Learning
NeurIPS
 
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
NeurIPS
 
Change Point Detection via Multivariate Singular Spectrum Analysis
Change Point Detection via Multivariate Singular Spectrum Analysis
NeurIPS
 
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
NeurIPS
 
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
NeurIPS
 
Noether networks: meta-learning useful conserved quantities
Noether networks: meta-learning useful conserved quantities
NeurIPS
 
Machine learning speeds up vehicle routing
Machine learning speeds up vehicle routing
MIT News
↗
Generating a realistic 3D world
Generating a realistic 3D world
MIT News
↗
Toward speech recognition for uncommon spoken languages
Toward speech recognition for uncommon spoken languages
MIT News
↗
Curious Representation Learning for Embodied Intelligence
Curious Representation Learning for Embodied Intelligence
ICCV
 
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations
ICLR
 
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
ICLR
 
IBM, MIT and Harvard release “Common Sense AI” dataset at ICML 2021
IBM, MIT and Harvard release “Common Sense AI” dataset at ICML 2021
IBM Research
↗
Can you teach AI common sense?
Can you teach AI common sense?
VentureBeat
↗
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
ICML
 
Model Fusion with Kullback–Leibler Divergence
Model Fusion with Kullback–Leibler Divergence
ICML
 
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
ICMLMachine Learning
 
Curvature-corrected learning dynamics in deep neural networks
Curvature-corrected learning dynamics in deep neural networks
ICML
 
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case
ICMLMachine Learning
 
Linear Mode Connectivity and The Lottery Ticket Hypothesis
Linear Mode Connectivity and The Lottery Ticket Hypothesis
ICMLMachine Learning
 
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Machine LearningSocial Networks
 
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
AAAIMachine Learning
 
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
ECCV
 
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
ECCVComputer Vision
 
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
ICLR
 
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
ICLRComputer Vision
 
VA-RED^2: Video Adaptive Redundancy Reduction
VA-RED^2: Video Adaptive Redundancy Reduction
ICLRComputer Vision
 
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
AAAIComputer Vision
 
Non-Adversarial Video Synthesis with Learned Priors
Non-Adversarial Video Synthesis with Learned Priors
CVPRComputer Vision
 
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning
CVPRComputer Vision
 
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
ECCVComputer Vision
 
Semi-Supervised Action Recognition with Temporal Contrastive Learning
Semi-Supervised Action Recognition with Temporal Contrastive Learning
CVPRComputer Vision
 
Two Simple Ways to Learn Individual Fairness Metrics from Data
Two Simple Ways to Learn Individual Fairness Metrics from Data
ICMLMachine Learning
 
Do GANs always have Nash equilibria?
Do GANs always have Nash equilibria?
ICML
 
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
AAAIComputer Vision
 
We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos
We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos
ECCVComputer Vision
 
Fashion IQ: A New Dataset towards Retrieving Images by Natural Language Feedback
Fashion IQ: A New Dataset towards Retrieving Images by Natural Language Feedback
CVPRComputer Vision
 
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
AAAIMachine Learning
 
Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics
Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics
ICLR
 
Heterogeneous Knowledge Transfer via Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
Heterogeneous Knowledge Transfer via Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
AAAI
 
Unsupervised Hierarchical Matching with Optimal Transport over Hyperbolic Spaces
Unsupervised Hierarchical Matching with Optimal Transport over Hyperbolic Spaces
AISTATS
 
Wasserstein Style Transfer
Wasserstein Style Transfer
AISTATSMachine Learning
 
GAN Compression: Efficient Architectures for Interactive Conditional GANs
GAN Compression: Efficient Architectures for Interactive Conditional GANs
CVPRComputer Vision
 
Lite Transformer with Long-Short Range Attention
Lite Transformer with Long-Short Range Attention
ICLRComputation and Language
 
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
AAAIMachine Learning
 
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
CVPRComputer Vision
 
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
AAAIArtificial Intelligence
 
Online Optimal Control with Affine Constraints
Online Optimal Control with Affine Constraints
AAAI
 
Causal structure discovery from distributions arising from mixtures of DAGs
Causal structure discovery from distributions arising from mixtures of DAGs
ICMLMachine Learning
 
Ordering-based causal structure learning in the presence of latent variables
Ordering-based causal structure learning in the presence of latent variables
AISTATSStatistics
 
Robust Overfitting may be mitigated by properly learned smoothening
Robust Overfitting may be mitigated by properly learned smoothening
ICLR
 
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
ICLRMachine Learning
 
Generating Adversarial Computer Programs using Optimized Obfuscations
Generating Adversarial Computer Programs using Optimized Obfuscations
ICLRMachine Learning
 
Sequence-Level Mixed Sample Data Augmentation
Sequence-Level Mixed Sample Data Augmentation
EMNLPComputation and Language
 
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
AISTATSMachine Learning
 
Separating Skills and Concepts for Novel Visual Question Answering
Separating Skills and Concepts for Novel Visual Question Answering
CVPR
 
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules
CVPRComputer Vision
 
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
CVPRComputer Vision
 
Self-Progressing Robust Training
Self-Progressing Robust Training
AAAIMachine Learning
 
Why Do These Match? Explaining the Behavior of Image Similarity Models
Why Do These Match? Explaining the Behavior of Image Similarity Models
ECCVComputer Vision
 
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions
ICML
 
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
ECCVComputer Vision
 
Fine-grained Angular Contrastive Learning with Coarse Labels
Fine-grained Angular Contrastive Learning with Coarse Labels
CVPRComputer Vision
 
Neural Network Control Policy Verification with Persistent Adversarial Perturbations
Neural Network Control Policy Verification with Persistent Adversarial Perturbations
ICMLMachine Learning
 
Hidden Cost of Randomized Smoothing
Hidden Cost of Randomized Smoothing
AISTATSMachine Learning
 
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
ICLRMachine Learning
 
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
ICLRComputer Vision
 
Learning Task Decomposition with Ordered Memory Policy Network
Learning Task Decomposition with Ordered Memory Policy Network
ICLR
 
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning.
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning.
AAAIComputer Vision
 
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
AAAIMachine Learning
 
MVFNet: Multi-View Fusion Network for Efficient Video Recognition
MVFNet: Multi-View Fusion Network for Efficient Video Recognition
AAAIComputer Vision
 
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
ICLRMachine Learning
 
Individually Fair Gradient Boosting
Individually Fair Gradient Boosting
ICLRMachine Learning
 
Individually Fair Ranking
Individually Fair Ranking
ICLRAI Fairness
 
Statistical inference for individual fairness
Statistical inference for individual fairness
ICLRMachine Learning
 
Fair Selective Classification Via Sufficiency
Fair Selective Classification Via Sufficiency
ICML
 
Black-box Explanation of Object Detectors via Saliency Maps
Black-box Explanation of Object Detectors via Saliency Maps
CVPRComputer Vision
 
Anycost GANs for Interactive Image Synthesis and Editing
Anycost GANs for Interactive Image Synthesis and Editing
CVPRComputer Vision
 
Learning-based Support Estimation In Sublinear Time
Learning-based Support Estimation In Sublinear Time
ICLR
 
AGENT: A Benchmark for Core Psychological Reasoning
AGENT: A Benchmark for Core Psychological Reasoning
ICMLArtificial Intelligence
 
Global Prosody Style Transfer Without Text Transcriptions
Global Prosody Style Transfer Without Text Transcriptions
ICML
 
Auto-NBA: Efficient and Effective Search Over The Joint Space of Networks, Bitwidths, and Accelerators
Auto-NBA: Efficient and Effective Search Over The Joint Space of Networks, Bitwidths, and Accelerators
ICML
 
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
ICML
 
Outlier-Robust Optimal Transport
Outlier-Robust Optimal Transport
ICML
 
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
EMNLPComputation and Language
 
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study
TACLComputation and Language
 
Adversarial Option-Aware Hierarchical Imitation Learning
Adversarial Option-Aware Hierarchical Imitation Learning
ICMLMachine Learning
 
Large Associative Memory Problem in Neurobiology and Machine Learning
Large Associative Memory Problem in Neurobiology and Machine Learning
ICLR
 
Can a Fruit Fly Learn Word Embeddings?
Can a Fruit Fly Learn Word Embeddings?
ICLRComputation and Language
 
AI Algorithms Are Slimming Down to Fit in Your Fridge
AI Algorithms Are Slimming Down to Fit in Your Fridge
WIRED
↗
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
NeurIPS
 
Black Loans Matter: Fighting Bias for AI Fairness in Lending
Black Loans Matter: Fighting Bias for AI Fairness in Lending
AI FairnessAI in Finance
 
Researchers Figured Out How to Fit More AI Than Ever onto Internet of Things Microchips
Researchers Figured Out How to Fit More AI Than Ever onto Internet of Things Microchips
Morning Brew
↗
Is neuroscience the key to protecting AI from adversarial attacks?
Is neuroscience the key to protecting AI from adversarial attacks?
TechTalks
↗
Learning Physical Graph Representations from Visual Scenes
Learning Physical Graph Representations from Visual Scenes
NeurIPS
 
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
NeurIPS
 
Testing Determinantal Point Processes
Testing Determinantal Point Processes
NeurIPS
 
Fairness in Streaming Submodular Maximization: Algorithms and Hardness
Fairness in Streaming Submodular Maximization: Algorithms and Hardness
NeurIPS
 
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
NeurIPS
 
Active Structure Learning of Causal DAGs via Directed Clique Trees
Active Structure Learning of Causal DAGs via Directed Clique Trees
Causal Inference
 
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
NeurIPS
 
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
NeurIPS
 
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth
NeurIPS
 
Robust Federated Learning: The Case of Affine Distribution Shifts
Robust Federated Learning: The Case of Affine Distribution Shifts
Federated Learning
 
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Optimization
 
Learning Restricted Boltzmann Machines With Sparse Latent Variables
Learning Restricted Boltzmann Machines With Sparse Latent Variables
NeurIPS
 
Debiased Contrastive Learning
Debiased Contrastive Learning
NeurIPS
 
Neuroscientists find a way to make object-recognition models perform better
Neuroscientists find a way to make object-recognition models perform better
MIT News
↗
Higher-Order Certification For Randomized Smoothing
Higher-Order Certification For Randomized Smoothing
Optimization
 
Entropic Causal Inference: Identifiability and Finite Sample Results
Entropic Causal Inference: Identifiability and Finite Sample Results
Causal Inference
 
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
Causal Inference
 
Applications of Common Entropy in Causal Inference
Applications of Common Entropy in Causal Inference
Causal Inference
 
Training Stronger Baselines for Learning to Optimize
Training Stronger Baselines for Learning to Optimize
Optimization
 
Asymptotic Guarantees for Generative Modeling based on the Smooth Wasserstein Distance
Asymptotic Guarantees for Generative Modeling based on the Smooth Wasserstein Distance
Bayesian Modeling
 
Simulating a Primate Visual Cortex at the Front of CNNs Improves Robustness to Adversarial Attacks and Image Corruptions
Simulating a Primate Visual Cortex at the Front of CNNs Improves Robustness to Adversarial Attacks and Image Corruptions
Neuroscience
 
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
NeurIPS
 
Auxiliary Task Reweighting for Minimum-data Learning
Auxiliary Task Reweighting for Minimum-data Learning
NeurIPS
 
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning
Efficient AI
 
Continuous Regularized Wasserstein Barycenters
Continuous Regularized Wasserstein Barycenters
Optimal Transport
 
The Lottery Ticket Hypothesis for the Pre-trained BERT Networks
The Lottery Ticket Hypothesis for the Pre-trained BERT Networks
Efficient AI
 
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
NeurIPS
 
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
NeurIPS
 
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Computer VisionMultimodal Learning
 
Approximate Cross-Validation for Structured Models
Approximate Cross-Validation for Structured Models
Bayesian Modeling
 
MCUNet: Tiny Deep Learning on IoT Devices
MCUNet: Tiny Deep Learning on IoT Devices
Deep LearningEfficient AI
 
Universal Domain Adaptation through Self Supervision
Universal Domain Adaptation through Self Supervision
Transfer LearningUnsupervised Learning
 
System brings deep learning to “internet of things” devices
System brings deep learning to “internet of things” devices
MIT News
↗
Does enforcing fairness mitigate biases caused by subpopulation shift?
Does enforcing fairness mitigate biases caused by subpopulation shift?
NeurIPS
 
Learning to Scale Multilingual Representations for Vision-Language Tasks
Learning to Scale Multilingual Representations for Vision-Language Tasks
ECCV
 
Adversarial T-shirt! Evading Person Detectors in A Physical World
Adversarial T-shirt! Evading Person Detectors in A Physical World
ECCVComputer Vision
 
Foley Music: Learning to Generate Music from Videos
Foley Music: Learning to Generate Music from Videos
ECCVComputer Vision
 
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference
ECCV
 
A Broader Study of Cross-Domain Few-Shot Learning
A Broader Study of Cross-Domain Few-Shot Learning
ECCVComputer Vision
 
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
ECCVComputer Vision
 
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
ECCVComputer Vision
 
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
ECCVComputer Vision
 
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder
ECCV
 
Bio-Inspired Hashing for Unsupervised Similarity Search
Bio-Inspired Hashing for Unsupervised Similarity Search
ICMLNeuroscience
 
This hybrid AI system can understand causality in controlled environments
This hybrid AI system can understand causality in controlled environments
TheNextWeb
↗
Sign-OPT: Defending the hard-label black-box cyber attack
Sign-OPT: Defending the hard-label black-box cyber attack
CybersecurityAdversarial Machine Learning
 
SenSR: the first practical algorithm for individual fairness
SenSR: the first practical algorithm for individual fairness
AI FairnessRobustness
 
Why Gradient Clipping accelerates training for neural networks
Why Gradient Clipping accelerates training for neural networks
OptimizationEfficient AI
 
CLEVRER: The first video dataset for neuro-symbolic reasoning
CLEVRER: The first video dataset for neuro-symbolic reasoning
Neuro-Symbolic AIComputer Vision
 
Fast and efficient black-box testing for AI cybersecurity
Fast and efficient black-box testing for AI cybersecurity
CybersecurityRobustness
 
Learning to learn with distributional signatures for text data
Learning to learn with distributional signatures for text data
Natural Language ProcessingTransfer Learning
 
Layer-wise federated learning with FedMA
Layer-wise federated learning with FedMA
Federated Learning
 
Learning Rate Rewinding for elegant neural network pruning
Learning Rate Rewinding for elegant neural network pruning
Efficient AIDeep Learning
 
Generative Ratio Matching Networks
Generative Ratio Matching Networks
Generative ModelsDeep Learning
 
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
Reinforcement LearningOptimization
 
Once for All: Train One Network and Specialize it for Efficient Deployment
Once for All: Train One Network and Specialize it for Efficient Deployment
Efficient AIICLR
 
Deep Audio Priors Emerge From Harmonic Convolutional Networks
Deep Audio Priors Emerge From Harmonic Convolutional Networks
Audio ProcessingDeep Learning
 
A Closer Look at Deep Policy Gradients
A Closer Look at Deep Policy Gradients
OptimizationICLR
 
CASTER: An AI framework for preventing adverse reactions to medication
CASTER: An AI framework for preventing adverse reactions to medication
AI in HealthcareAAAI
 
ObjectNet: A bias-controlled dataset object recognition
ObjectNet: A bias-controlled dataset object recognition
Computer VisionNeurIPS
 
Online AI planning with graph neural networks and adaptive scheduling
Online AI planning with graph neural networks and adaptive scheduling
Automated PlanningGraph Deep Learning
 
Reading between the lines with graph deep learning for NLP
Reading between the lines with graph deep learning for NLP
Natural Language ProcessingAAAI
 
Fastened crown: Tightened neural network robustness certificates
Fastened crown: Tightened neural network robustness certificates
AAAI
 
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator
CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator
AAAI
 
CASTER: Predicting drug interactions with chemical substructure representation
CASTER: Predicting drug interactions with chemical substructure representation
AAAI
 
A content-aware attack generator for AI cybersecurity
A content-aware attack generator for AI cybersecurity
Adversarial Machine LearningCybersecurity
 
Automating machine learning with a joint selection framework
Automating machine learning with a joint selection framework
AAAIAutoML
 
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Graph Deep LearningAAAI
 
Point-Voxel CNN for Efficient 3D Deep Learning
Point-Voxel CNN for Efficient 3D Deep Learning
NeurIPSEfficient AI
 
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
NeurIPS
 
Sobolev Independence Criterion
Sobolev Independence Criterion
NeurIPS
 
Private Testing of Distributions via Sample Permutations
Private Testing of Distributions via Sample Permutations
NeurIPS
 
Image Synthesis with a Single (Robust) Classifier
Image Synthesis with a Single (Robust) Classifier
NeurIPS
 
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks
NeurIPS
 
A Game Theoretic Approach to Class-wise Selective Rationalization
A Game Theoretic Approach to Class-wise Selective Rationalization
NeurIPS
 
Hierarchical Optimal Transport for Document Representation
Hierarchical Optimal Transport for Document Representation
NeurIPS
 
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
NeurIPS
 
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers
NeurIPS
 
Statistical Model Aggregation via Parameter Matching
Statistical Model Aggregation via Parameter Matching
NeurIPS
 
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
NeurIPS
 
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
NeurIPS
 
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
NeurIPS
 
Sample Efficient Active Learning of Causal Trees
Sample Efficient Active Learning of Causal Trees
NeurIPS
 
Scalable inference of topic evolution via models for latent geometric structures
Scalable inference of topic evolution via models for latent geometric structures
NeurIPS
 
ZO-AdaMM: Derivative-free optimization for black-box problems
ZO-AdaMM: Derivative-free optimization for black-box problems
OptimizationNeurIPS
 
Cross-channel Communication Networks
Cross-channel Communication Networks
NeurIPSDeep Learning
 
Tight Certificates of Adversarial Robustness
Tight Certificates of Adversarial Robustness
CybersecurityNeurIPS
 
MAi : An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents
MAi : An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents
AAAI
 
A Sequential Set Generation Method for Predicting Set-Valued Outputs
A Sequential Set Generation Method for Predicting Set-Valued Outputs
AAAI
 
Learning and Testing Causal Models with Interventions
Learning and Testing Causal Models with Interventions
NeurIPS
 
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
NeurIPS
 
Direct Estimation of Differences in Causal Graphs
Direct Estimation of Differences in Causal Graphs
NeurIPS
 
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
NeurIPS
 
How Does Batch Normalization Help Optimization?
How Does Batch Normalization Help Optimization?
NeurIPS
 
HOGWILD!-Gibbs Can Be PanAccurate
HOGWILD!-Gibbs Can Be PanAccurate
NeurIPS
 
Efficient Neural Network Robustness Certification with General Activation Functions
Efficient Neural Network Robustness Certification with General Activation Functions
NeurIPS
 
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input
ECCVMultimodal Learning
 
Interpretable Basis Decomposition for Visual Explanation
Interpretable Basis Decomposition for Visual Explanation
ECCV
 
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency
ECCV
 
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
CVPRComputer Vision
 
Dialog-based Interactive Image Retrieval
Dialog-based Interactive Image Retrieval
NeurIPSComputer Vision