NeurIPS 2021

The MIT-IBM Watson AI Lab proudly presents 28 papers accepted at the 2021 Neural Information and Processing Systems conference.

Spotlight Papers

Click the time to see the event listing: click the title to see the paper.
12/7/2021  11:30 – 13:00 (EST) Measuring Generalization with Optimal Transport Ching-Yao Chuang · Youssef Mroueh · Kristjan Greenewald · Antonio Torralba · Stefanie Jegelka
12/7/2021  11:30 – 13:00 (EST) PARP: Prune Once, Adjust and Re-Prune for Self-Supervised Speech Recognition Cheng-I Jeff Lai · Yang Zhang · Alexander Liu · Shiyu Chang · Yi-Lun Liao · Yung-Sung Chuang · Kaizhi Qian · Sameer Khurana · David Cox · Jim Glass
12/7/2021 19:30 – 21:00 (EST) Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos Reuben Tan · Bryan Plummer · Kate Saenko · Hailin Jin · Bryan Russell
12/7/2021 19:30 – 21:00 (EST) Sequence-to-Sequence Learning with Latent Neural Grammars Yoon Kim
12/8/2021 19:30 – 21:00 (EST) Sliced Mutual Information: A Scalable Measure of Statistical Dependence Ziv Goldfeld · Kristjan Greenewald

Posters

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12/7/2021 11:30 – 13:00 (EST) 3DP3: 3D Scene Perception via Probabilistic Programming Nishad Gothoskar · Marco Cusumano-Towner · Ben Zinberg · Matin Ghavamizadeh · Falk Pollok · Austin Garrett · Josh Tenenbaum · Dan Gutfreund · Vikash Mansinghka
12/7/2021 11:30 – 13:00 (EST) Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing Aadarsh Sahoo · Rutav Shah · Rameswar Panda · Kate Saenko · Abir None Das
12/7/2021 11:30 – 13:00 (EST) Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks Yonggan Fu · Qixuan Yu · Yang Zhang · Shang Wu · Xu Ouyang · David Cox · Yingyan Lin
12/7/2021 11:30 – 13:00 (EST) Learning with Algorithmic Supervision via Continuous Relaxations Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
12/7/2021 11:30 – 13:00 (EST) Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception Joel Dapello · Jenelle Feather · Hang Le · Tiago Marques · David Cox · Josh McDermott · James J DiCarlo · Sueyeon Chung
12/7/2021 11:30 – 13:00 (EST) Targeted Neural Dynamical Modeling Cole Hurwitz · Akash Srivastava · Kai Xu · Justin Jude · Matt Perich · Lee Miller · Matthias Hennig
12/7/2021 11:30 – 13:00 (EST) When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? Lijie Fan · Sijia Liu · Pin-Yu Chen · Gaoyuan Zhang · Chuang Gan
12/7/2021 19:30 – 21:00 (EST) TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up Yifan Jiang · Shiyu Chang · Zhangyang Wang
12/8/2021 5:00 – 6:30 (EST) PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning Yining Hong · Li Yi · Josh Tenenbaum · Antonio Torralba · Chuang Gan
12/8/2021 19:30 – 21:00 (EST) Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang · Tianyun Zhang · Sijia Liu · Pin-Yu Chen · Jiacen Xu · Makan Fardad · Bo Li
12/9/2021 05:00 – : 06:30 (EST) A Bayesian Symbolic Approach to Reasoning and Learning in Intuitive Physics Kai Xu · Akash Srivastava · Dan Gutfreund · Felix Sosa · Tomer Ullman · Josh Tenenbaum · Charles Sutton
12/9/2021 05:00 – 06:30 (EST) IA-RED^2: Interpretability-Aware Redundancy Reduction for Vision Transformers Bowen Pan · Rameswar Panda · Yifan Jiang · Zhangyang Wang · Rogerio Feris · Aude Oliva
12/9/2021 11:30 – 13:00 (EST) OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization Kuniaki Saito · Donghyun Kim · Kate Saenko
12/9/2021 19:30 – 21:00 (EST) Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam · Richard Chen · Rameswar Panda · Leonid Karlinsky · Rogerio Feris · Richard J. Radke
12/9/2021 19:30 – 21:00 (EST) Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
Mingyu Ding · Zhenfang Chen · Tao Du · Ping Luo · Josh Tenenbaum · Chuang Gan
12/9/2021 19:30 – 21:00 (EST) On the Equivalence between Neural Network and Support Vector Machine Yilan Chen · Wei Huang · Lam Nguyen · Lily Weng
12/9/2021 19:30 – 21:00 (EST) Robust Deep Reinforcement Learning through Adversarial Loss Tuomas Oikarinen · Wang Zhang · Alexandre Megretski · Luca Daniel · Lily Weng
12/9/2021 19:30 – 21:00 (EST) Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu · Yang Zhang · Shiyu Chang · Tommi Jaakkola
12/9/2021 19:30 – 21:00 (EST) Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks Shuai Zhang · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
12/10/2021 11:30 – 13:00 (EST) Memory-efficient Patch-based Inference for Tiny Deep Learning Ji Lin · Wei-Ming Chen · Han Cai · Chuang Gan · Song Han

 

Datasets and Benchmarks Track Papers

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12/7/2021 Oral ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation Chuang Gan · Jeremy Schwartz · Seth Alter · Damian Mrowca · Martin Schrimpf · James Traer · Julian De Freitas · Jonas Kubilius · Abhishek Bhandwaldar · Nick Haber · Megumi Sano · Kuno Kim · Elias Wang · Michael Lingelbach · Aidan Curtis · Kevin Feigelis · Daniel Bear · Dan Gutfreund · David Cox · Antonio Torralba · James J DiCarlo · Josh Tenenbaum · Josh McDermott · Dan Yamins
12/7/2021 Poster CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks Ruchir Puri · David Kung · Geert Janssen · Wei Zhang · Giacomo Domeniconi · Vladimir Zolotov · Julian T Dolby · Jie Chen · Mihir Choudhury · Lindsey Decker · Veronika Thost · Luca Buratti · Saurabh Pujar · Shyam Ramji · Ulrich Finkler · Susan Malaika · Frederick Reiss
12/7/2021 Poster STAR: A Benchmark for Situated Reasoning in Real-World Videos Bo Wu · Shoubin Yu · Zhenfang Chen · Josh Tenenbaum · Chuang Gan