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MSRP Industry Night: Career Exploration with IBM
MSRP Industry Night: Career Exploration with IBM
 
Model Fusion with Kullback–Leibler Divergence
Model Fusion with Kullback–Leibler Divergence
 
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
 
Curvature-corrected learning dynamics in deep neural networks
Curvature-corrected learning dynamics in deep neural networks
 
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
 
Linear Mode Connectivity and The Lottery Ticket Hypothesis
Linear Mode Connectivity and The Lottery Ticket Hypothesis
 
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
 
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
 
Adversarial T-shirt! Evading Person Detectors in A Physical World
Adversarial T-shirt! Evading Person Detectors in A Physical World
 
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases
 
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
 
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
 
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
 
VA-RED^2: Video Adaptive Redundancy Reduction
VA-RED^2: Video Adaptive Redundancy Reduction
 
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search
 
Non-Adversarial Video Synthesis with Learned Priors
Non-Adversarial Video Synthesis with Learned Priors
 
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning
 
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
 
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
 
Semi-Supervised Action Recognition with Temporal Contrastive Learning
Semi-Supervised Action Recognition with Temporal Contrastive Learning
 
Two Simple Ways to Learn Individual Fairness Metrics from Data
Two Simple Ways to Learn Individual Fairness Metrics from Data
 
Foley Music: Learning to Generate Music from Videos
Foley Music: Learning to Generate Music from Videos
 
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference
 
A Broader Study of Cross-Domain Few-Shot Learning
A Broader Study of Cross-Domain Few-Shot Learning
 
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
 
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
 
Do GANs always have Nash equilibria?
Do GANs always have Nash equilibria?
 
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
 
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions
 
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
 
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
 
Fashion IQ: A New Dataset towards Retrieving Images by Natural Language Feedback
Fashion IQ: A New Dataset towards Retrieving Images by Natural Language Feedback
 
Understanding Behavior of Clinical Models under Domain Shifts
Understanding Behavior of Clinical Models under Domain Shifts
 
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
 
Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics
Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics
 
Heterogeneous Knowledge Transfer via Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
Heterogeneous Knowledge Transfer via Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning
 
Unsupervised Hierarchical Matching with Optimal Transport over Hyperbolic Spaces
Unsupervised Hierarchical Matching with Optimal Transport over Hyperbolic Spaces
 
Wasserstein Style Transfer
Wasserstein Style Transfer
 
GAN Compression: Efficient Architectures for Interactive Conditional GANs
GAN Compression: Efficient Architectures for Interactive Conditional GANs
 
Lite Transformer with Long-Short Range Attention
Lite Transformer with Long-Short Range Attention
 
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
 
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
 
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
 
Online Optimal Control with Affine Constraints
Online Optimal Control with Affine Constraints
 
Causal structure discovery from distributions arising from mixtures of DAGs
Causal structure discovery from distributions arising from mixtures of DAGs
 
Ordering-based causal structure learning in the presence of latent variables
Ordering-based causal structure learning in the presence of latent variables
 
Robust Overfitting may be mitigated by properly learned smoothening
Robust Overfitting may be mitigated by properly learned smoothening
 
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
 
Generating Adversarial Computer Programs using Optimized Obfuscations
Generating Adversarial Computer Programs using Optimized Obfuscations
 
Sequence-Level Mixed Sample Data Augmentation
Sequence-Level Mixed Sample Data Augmentation
 
Parameter-Efficient Transfer Learning with Diff Pruning
Parameter-Efficient Transfer Learning with Diff Pruning
 
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
 
Separating Skills and Concepts for Novel Visual Question Answering
Separating Skills and Concepts for Novel Visual Question Answering
 
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
 
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
 
Self-Progressing Robust Training
Self-Progressing Robust Training
 
Why Do These Match? Explaining the Behavior of Image Similarity Models
Why Do These Match? Explaining the Behavior of Image Similarity Models
 
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions
 
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
 
Fine-grained Angular Contrastive Learning with Coarse Labels
Fine-grained Angular Contrastive Learning with Coarse Labels
 
Neural Network Control Policy Verification with Persistent Adversarial Perturbations
Neural Network Control Policy Verification with Persistent Adversarial Perturbations
 
Hidden Cost of Randomized Smoothing
Hidden Cost of Randomized Smoothing
 
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.
 
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
 
Learning Task Decomposition with Ordered Memory Policy Network
Learning Task Decomposition with Ordered Memory Policy Network
 
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning.
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning.
 
Augmenting Policy Learning with Routines Discovered from a Demonstration
Augmenting Policy Learning with Routines Discovered from a Demonstration
 
MVFNet: Multi-View Fusion Network for Efficient Video Recognition
MVFNet: Multi-View Fusion Network for Efficient Video Recognition
 
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
 
Individually Fair Gradient Boosting
Individually Fair Gradient Boosting
 
Individually Fair Rankings
Individually Fair Rankings
 
Statistical inference for individual fairness
Statistical inference for individual fairness
 
Fair Selective Classification Via Sufficiency
Fair Selective Classification Via Sufficiency
 
Black-box Explanation of Object Detectors via Saliency Maps
Black-box Explanation of Object Detectors via Saliency Maps
 
Anycost GANs for Interactive Image Synthesis and Editing
Anycost GANs for Interactive Image Synthesis and Editing
 
Learning-based Support Estimation In Sublinear Time
Learning-based Support Estimation In Sublinear Time
 
Complementary Evidence Identification in Open-Domain Question Answering
Complementary Evidence Identification in Open-Domain Question Answering
 
AGENT: A Benchmark for Core Psychological Reasoning
AGENT: A Benchmark for Core Psychological Reasoning
 
Global Prosody Style Transfer Without Text Transcriptions
Global Prosody Style Transfer Without Text Transcriptions
 
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
 
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
 
Outlier-Robust Optimal Transport
Outlier-Robust Optimal Transport
 
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
 
Multilingual BERT Post-Pretraining Alignment
Multilingual BERT Post-Pretraining Alignment
 
Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations
Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations
 
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
 
Adversarial Option-Aware Hierarchical Imitation Learning
Adversarial Option-Aware Hierarchical Imitation Learning
 
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
 
Large Associative Memory Problem in Neurobiology and Machine Learning
Large Associative Memory Problem in Neurobiology and Machine Learning
 
Can a Fruit Fly Learn Word Embeddings?
Can a Fruit Fly Learn Word Embeddings?
 
Do Neural Networks Really Need to Be So Big?
Do Neural Networks Really Need to Be So Big?
 
The Computational Limits of Deep Learning
The Computational Limits of Deep Learning
 
Black Loans Matter: Fighting Bias for AI Fairness in Lending
Black Loans Matter: Fighting Bias for AI Fairness in Lending
 
Learning Physical Graph Representations from Visual Scenes
Learning Physical Graph Representations from Visual Scenes
 
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
 
Testing Determinantal Point Processes
Testing Determinantal Point Processes
 
Fairness in Streaming Submodular Maximization: Algorithms and Hardness
Fairness in Streaming Submodular Maximization: Algorithms and Hardness
 
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
 
Active Structure Learning of Causal DAGs via Directed Clique Trees
Active Structure Learning of Causal DAGs via Directed Clique Trees
 
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
 
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
 
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth
 
Robust Federated Learning: The Case of Affine Distribution Shifts
Robust Federated Learning: The Case of Affine Distribution Shifts
 
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
 
Learning Restricted Boltzmann Machines With Sparse Latent Variables
Learning Restricted Boltzmann Machines With Sparse Latent Variables
 
Debiased Contrastive Learning
Debiased Contrastive Learning
 
Higher-Order Certification For Randomized Smoothing
Higher-Order Certification For Randomized Smoothing
 
Entropic Causal Inference: Identifiability and Finite Sample Results
Entropic Causal Inference: Identifiability and Finite Sample Results
 
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
 
Applications of Common Entropy in Causal Inference
Applications of Common Entropy in Causal Inference
 
Training Stronger Baselines for Learning to Optimize
Training Stronger Baselines for Learning to Optimize
 
Asymptotic Guarantees for Generative Modeling based on the Smooth Wasserstein Distance
Asymptotic Guarantees for Generative Modeling based on the Smooth Wasserstein Distance
 
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
 
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
 
Auxiliary Task Reweighting for Minimum-data Learning
Auxiliary Task Reweighting for Minimum-data Learning
 
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning
 
Continuous Regularized Wasserstein Barycenters
Continuous Regularized Wasserstein Barycenters
 
The Lottery Ticket Hypothesis for the Pre-trained BERT Networks
The Lottery Ticket Hypothesis for the Pre-trained BERT Networks
 
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
 
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
 
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
 
Approximate Cross-Validation for Structured Models
Approximate Cross-Validation for Structured Models
 
MCUNet: Tiny Deep Learning on IoT Devices
MCUNet: Tiny Deep Learning on IoT Devices
 
Bio-Inspired Hashing for Unsupervised Similarity Search
Bio-Inspired Hashing for Unsupervised Similarity Search
 
SenSR: the first practical algorithm for individual fairness
SenSR: the first practical algorithm for individual fairness
 
Why Gradient Clipping accelerates training for neural networks
Why Gradient Clipping accelerates training for neural networks
 
CLEVRER: The first video dataset for neuro-symbolic reasoning
CLEVRER: The first video dataset for neuro-symbolic reasoning
 
Fast and efficient black-box testing for AI cybersecurity
Fast and efficient black-box testing for AI cybersecurity
 
Layer-wise federated learning with FedMA
Layer-wise federated learning with FedMA
 
Learning Rate Rewinding for elegant neural network pruning
Learning Rate Rewinding for elegant neural network pruning
 
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
 
Once for All: Train One Network and Specialize it for Efficient Deployment
Once for All: Train One Network and Specialize it for Efficient Deployment
 
Deep Audio Priors Emerge From Harmonic Convolutional Networks
Deep Audio Priors Emerge From Harmonic Convolutional Networks
 
A Closer Look at Deep Policy Gradients
A Closer Look at Deep Policy Gradients
 
Deep Symbolic Superoptimization Without Human Knowledge
Deep Symbolic Superoptimization Without Human Knowledge
 
Reshaping Diverse Planning
Reshaping Diverse Planning
 
Adversarial Robustness vs Model Compression, or Both?
Adversarial Robustness vs Model Compression, or Both?
 
Point-Voxel CNN for Efficient 3D Deep Learning
Point-Voxel CNN for Efficient 3D Deep Learning
 
CASTER: An AI framework for preventing adverse reactions to medication
CASTER: An AI framework for preventing adverse reactions to medication
 
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
 
Reasoning about Human-Object Interactions through Dual Attention Networks
Reasoning about Human-Object Interactions through Dual Attention Networks
 
LaSO: Label-Set Operations networks for multi-label few-shot learning
LaSO: Label-Set Operations networks for multi-label few-shot learning
 
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
 
RepMet: Representative-based metric learning for classification and one-shot object detection
RepMet: Representative-based metric learning for classification and one-shot object detection
 
ObjectNet: A bias-controlled dataset object recognition
ObjectNet: A bias-controlled dataset object recognition
 
Moments in Time Dataset: one million videos for event understanding
Moments in Time Dataset: one million videos for event understanding
 
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
 
Self-supervised Moving Vehicle Tracking with Stereo Sound
Self-supervised Moving Vehicle Tracking with Stereo Sound
 
The sound of motions
The sound of motions
 
TSM: Temporal Shift Module for Efficient Video Understanding
TSM: Temporal Shift Module for Efficient Video Understanding
 
Graph Convolutional Networks for Temporal Action Localization
Graph Convolutional Networks for Temporal Action Localization
 
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
 
Online AI planning with graph neural networks and adaptive scheduling
Online AI planning with graph neural networks and adaptive scheduling
 
Reading between the lines with graph deep learning for NLP
Reading between the lines with graph deep learning for NLP
 
A unifying framework for expectation-aware AI planning
A unifying framework for expectation-aware AI planning
 
Automating machine learning with a joint selection framework
Automating machine learning with a joint selection framework
 
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
 
Embedding Compression with Isotropic Iterative Quantization
Embedding Compression with Isotropic Iterative Quantization
 
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
 
ZO-AdaMM: Derivative-free optimization for black-box problems
ZO-AdaMM: Derivative-free optimization for black-box problems
 
Big-Little-Video-Net: Work smarter, not harder, for video understanding
Big-Little-Video-Net: Work smarter, not harder, for video understanding
 
Topics are more meaningful than words. AI for comparative literature.
Topics are more meaningful than words. AI for comparative literature.
 
Imitation learning from observations
Imitation learning from observations
 
Using geometry to understand documents
Using geometry to understand documents
 
SPAHM: Parameter matching for model fusion
SPAHM: Parameter matching for model fusion
 
Alleviating label switching with optimal transport
Alleviating label switching with optimal transport
 
Visual Concept-Metaconcept Learning
Visual Concept-Metaconcept Learning
 
Causal inference is expensive. Here’s an algorithm for fixing that.
Causal inference is expensive. Here’s an algorithm for fixing that.
 
New tricks from old dogs: multi-source transfer learning
New tricks from old dogs: multi-source transfer learning
 
Reverse-engineering causal graphs with soft interventions
Reverse-engineering causal graphs with soft interventions
 
SimVAE: Simulator-Assisted Training for Interpretable Generative Models
SimVAE: Simulator-Assisted Training for Interpretable Generative Models
 
Cross-channel Communication Networks
Cross-channel Communication Networks
 
The Future of Work: How New Technologies Are Transforming Tasks
The Future of Work: How New Technologies Are Transforming Tasks
 
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference
Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference
 
Seeing What a GAN Cannot Generate
Seeing What a GAN Cannot Generate
 
Watch, Reason and Code: Learning to Represent Videos Using Program
Watch, Reason and Code: Learning to Represent Videos Using Program
 
Defensive Quantization: When Efficiency Meets Robustness
Defensive Quantization: When Efficiency Meets Robustness
 
Neural language models as psycholinguistic subjects: Representations of syntactic state
Neural language models as psycholinguistic subjects: Representations of syntactic state
 
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering
Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering
 
Deep Leakage from Gradients
Deep Leakage from Gradients
 
Write, Execute, Assess: Program Synthesis with a REPL
Write, Execute, Assess: Program Synthesis with a REPL
 
Variational Russian Roulette for Deep Bayesian Nonparametrics
Variational Russian Roulette for Deep Bayesian Nonparametrics
 
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing
 
Bayesian Nonparametric Federated Learning of Neural Networks
Bayesian Nonparametric Federated Learning of Neural Networks
 
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
 
Unsupervised learning by competing hidden units
Unsupervised learning by competing hidden units
 
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
 
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
 
Tight Certificates of Adversarial Robustness
Tight Certificates of Adversarial Robustness
 
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
 
Weakly Supervised Dense Event Captioning in Videos
Weakly Supervised Dense Event Captioning in Videos
 
Neural Network Robustness Certification with General Activation Functions
Neural Network Robustness Certification with General Activation Functions
 
Scalable Graph Learning for Anti-Money Laundering: A First Look
Scalable Graph Learning for Anti-Money Laundering: A First Look
 
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
 
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
 
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
 
Unsupervised learning with contrastive latent variable models
Unsupervised learning with contrastive latent variable models
 
Co-regularized Alignment for Unsupervised Domain Adaptation
Co-regularized Alignment for Unsupervised Domain Adaptation
 
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
 
Experimental Design for Cost-Aware Learning of Causal Graphs
Experimental Design for Cost-Aware Learning of Causal Graphs
 
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
 
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
 
signSGD via Zeroth-Order Oracle
signSGD via Zeroth-Order Oracle
 
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
 
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
 
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
 
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
 
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
 
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
 
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
 
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
 
Dialog-based Interactive Image Retrieval
Dialog-based Interactive Image Retrieval
 
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Learning to Teach in Cooperative Multiagent Reinforcement Learning
 
Learning to Separate Object Sounds by Watching Unlabeled Video
Learning to Separate Object Sounds by Watching Unlabeled Video
 
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
 
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
 
BlockDrop: Dynamic Inference Paths in Residual Networks
BlockDrop: Dynamic Inference Paths in Residual Networks
 
Action Centered Contextual Bandits
Action Centered Contextual Bandits
 
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
 
Gradient Descent for Spiking Neural Networks
Gradient Descent for Spiking Neural Networks
 
Ensemble Estimation of Information Divergence
Ensemble Estimation of Information Divergence