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The 2021 schedule is still incomplete
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Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Concept Learners for Few-Shot Learning
In Poster Session 06
Kaidi Cao · Maria Brbic · Jure Leskovec
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
In Poster Session 06
Myeongjang Pyeon · Jihwan Moon · Taeyoung Hahn · Gunhee Kim
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
RMSprop converges with proper hyper-parameter
In Poster Session 06
Naichen Shi · Dawei Li · Mingyi Hong · Ruoyu Sun
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
A Discriminative Gaussian Mixture Model with Sparsity
In Poster Session 06
Hideaki Hayashi · Seiichi Uchida
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
In Poster Session 06
Zhipeng Bao · Yu-Xiong Wang · Martial Hebert
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Generating Adversarial Computer Programs using Optimized Obfuscations
In Poster Session 06
Shashank Srikant · Sijia Liu · Tamara Mitrovska · Shiyu Chang · Quanfu Fan · Gaoyuan Zhang · Una-May O'Reilly
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Memory Optimization for Deep Networks
In Poster Session 06
Aashaka Shah · Chao-Yuan Wu · Jayashree Mohan · Vijay Chidambaram · Philipp Krähenbühl
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Large Batch Simulation for Deep Reinforcement Learning
In Poster Session 06
Brennan Shacklett · Erik Wijmans · Aleksei Petrenko · Manolis Savva · Dhruv Batra · Vladlen Koltun · Kayvon Fatahalian
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
In Poster Session 06
Aviral Kumar · Rishabh Agarwal · Dibya Ghosh · Sergey Levine
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
In Poster Session 06
Zhiyuan Li · Yi Zhang · Sanjeev Arora
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
CompOFA – Compound Once-For-All Networks for Faster Multi-Platform Deployment
In Poster Session 06
Manas Sahni · Shreya Varshini · Alind Khare · Alexey Tumanov
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Fourier Neural Operator for Parametric Partial Differential Equations
In Poster Session 06
Zongyi Li · Nikola B Kovachki · Kamyar Azizzadenesheli · Burigede liu · Kaushik Bhattacharya · Andrew Stuart · Anima Anandkumar
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning
In Poster Session 06
Honglu Zhou · Asim Kadav · Farley Lai · Alexandru Niculescu-Mizil · Martin Min · Mubbasir Kapadia · Hans P Graf
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Unsupervised Discovery of 3D Physical Objects
In Poster Session 06
Yilun Du · Kevin A Smith · Tomer Ullman · Joshua B Tenenbaum · Jiajun Wu
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
A Hypergradient Approach to Robust Regression without Correspondence
In Poster Session 06
Yujia Xie · Yixiu Mao · Simiao Zuo · Hongteng Xu · Xiaojing Ye · Tuo Zhao · Hongyuan Zha
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
In Poster Session 06
Chin-Wei Huang · Tian Qi Chen · Christos Tsirigotis · Aaron Courville
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Multi-resolution modeling of a discrete stochastic process identifies causes of cancer
In Poster Session 06
Adam Yaari · Maxwell Sherman · Oliver C Priebe · Po-Ru Loh · Boris Katz · Andrei Barbu · Bonnie Berger
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
In Poster Session 06
Tsung-Wei Ke · Jyh-Jing Hwang · Stella Yu
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
In Poster Session 06
Jaekyeom Kim · Minjung Kim · Dongyeon Woo · Gunhee Kim
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
DrNAS: Dirichlet Neural Architecture Search
In Poster Session 06
Xiangning Chen · Ruochen Wang · Minhao Cheng · Xiaocheng Tang · Cho-Jui Hsieh
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Lipschitz Recurrent Neural Networks
In Poster Session 06
N. Benjamin Erichson · Omri Azencot · Alejandro Queiruga · Liam Hodgkinson · Michael W Mahoney
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Behavioral Cloning from Noisy Demonstrations
In Poster Session 06
Fumihiro Sasaki · Ryota Yamashina
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Can a Fruit Fly Learn Word Embeddings?
In Poster Session 06
Yuchen Liang · Chaitanya Ryali · Benjamin Hoover · Leopold Grinberg · Saket Navlakha · Mohammed J Zaki · Dmitry Krotov
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
In Poster Session 06
Meng Qu · Junkun Chen · Louis-Pascal A Xhonneux · Yoshua Bengio · Jian Tang
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
On Graph Neural Networks versus Graph-Augmented MLPs
In Poster Session 06
Lei Chen · Zhengdao Chen · Joan Bruna
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Mathematical Reasoning via Self-supervised Skip-tree Training
In Poster Session 06
Markus Rabe · Dennis Lee · Kshitij Bansal · Christian Szegedy
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
In Poster Session 06
Tolga Ergen · Mert Pilanci
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation
In Poster Session 06
Xin Ding · Yongwei Wang · Zuheng Xu · William J Welch · Z. J Wang
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Discovering Non-monotonic Autoregressive Orderings with Variational Inference
In Poster Session 06
Xuanlin Li · Brandon Trabucco · Dong Huk Park · Michael Luo · Sheng Shen · trevor darrell · Yang Gao
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Aligning AI With Shared Human Values
In Poster Session 06
Dan Hendrycks · Collin Burns · Steven Basart · Andrew Critch · Jerry Li · Dawn Song · Jacob Steinhardt
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online
In Poster Session 06
Yangchen Pan · Kirby Banman · Martha White
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
In Poster Session 06
Hong-You Chen · Wei-Lun Chao
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
In Poster Session 06
Zhen Qin · Le Yan · Honglei Zhuang · Yi Tay · Rama Kumar Pasumarthi · Xuanhui Wang · Michael Bendersky · Marc Najork
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents
In Poster Session 06
Deyao Zhu · Mohamed Zahran · Erran Li · Mohamed Elhoseiny
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Usable Information and Evolution of Optimal Representations During Training
In Poster Session 06
Michael Kleinman · Alessandro Achille · Daksh Idnani · Jonathan Kao
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
In Poster Session 06
Peiye Zhuang · Sanmi Koyejo · Alex Schwing
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
In Poster Session 06
Michael Zhang · Thomas Paine · Ofir Nachum · Cosmin Paduraru · George Tucker · ziyu wang · Mohammad Norouzi
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
A unifying view on implicit bias in training linear neural networks
In Poster Session 06
Chulhee Yun · Shankar Krishnan · Hossein Mobahi
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
In Poster Session 06
Wonyong Jeong · Jaehong Yoon · Eunho Yang · Sung Ju Hwang
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
In Poster Session 06
Thao Nguyen · Maithra Raghu · Simon Kornblith
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
In Poster Session 06
Augustus Odena · Kensen Shi · David Bieber · Rishabh Singh · Charles Sutton · Hanjun Dai
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Denoising Diffusion Implicit Models
In Poster Session 06
Jiaming Song · Chenlin Meng · Stefano Ermon
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Discrete Graph Structure Learning for Forecasting Multiple Time Series
In Poster Session 06
Chao Shang · Jie Chen · Jinbo Bi
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
In Poster Session 06
Jang-Hyun Kim · Wonho Choo · Hosan Jeong · Hyun Oh Song
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients
In Poster Session 06
Yihan Wang · Beining Han · Tonghan Wang · Heng Dong · Chongjie Zhang
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Debiasing Concept-based Explanations with Causal Analysis
In Poster Session 06
Mohammad Taha Bahadori · David Heckerman
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
In Poster Session 06
Daniel Kunin · Javier Sagastuy-Brena · Surya Ganguli · Daniel L Yamins · Hidenori Tanaka
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Information Laundering for Model Privacy
In Poster Session 06
Xinran Wang · Yu Xiang · Jun Gao · Jie Ding
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
DDPNOpt: Differential Dynamic Programming Neural Optimizer
In Poster Session 06
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Mirostat: A Neural Text Decoding Algorithm That Directly Controls Perplexity
In Poster Session 06
Sourya Basu · Govardana Sachithanandam Ramachandran · Nitish Shirish Keskar · Lav R Varshney
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Contextual Dropout: An Efficient Sample-Dependent Dropout Module
In Poster Session 06
XINJIE FAN · Shujian Zhang · Korawat Tanwisuth · Xiaoning Qian · Mingyuan Zhou
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Understanding the role of importance weighting for deep learning
In Poster Session 06
Da Xu · Yuting Ye · Chuanwei Ruan
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Monotonic Kronecker-Factored Lattice
In Poster Session 06
William Bakst · Nobuyuki Morioka · Erez Louidor
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
The Importance of Pessimism in Fixed-Dataset Policy Optimization
In Poster Session 06
Jacob Buckman · Carles Gelada · Marc G Bellemare
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Individually Fair Rankings
In Poster Session 06
Amanda Bower · Hamid Eftekhari · Mikhail Yurochkin · Yuekai Sun
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Hierarchical Autoregressive Modeling for Neural Video Compression
In Poster Session 06
Ruihan Yang · Yibo Yang · Joe Marino · Stephan Mandt
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
In Poster Session 06
Dongkwan Kim · Alice Oh
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
A Temporal Kernel Approach for Deep Learning with Continuous-time Information
In Poster Session 06
Da Xu · Chuanwei Ruan · evren korpeoglu · Sushant Kumar · kannan achan
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows
In Poster Session 06
Chris Cannella · Mohammadreza Soltani · VAHID TAROKH
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
In Poster Session 06
Jeremy Cohen · Simran Kaur · Yuanzhi Li · Zico Kolter · Ameet Talwalkar
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Learning to Reach Goals via Iterated Supervised Learning
In Poster Session 06
Dibya Ghosh · Abhishek Gupta · Ashwin D Reddy · Justin Fu · Coline M Devin · Benjamin Eysenbach · Sergey Levine
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
In Poster Session 06
Jiaqi Ma · Bo Chang · Xuefei Zhang · Qiaozhu Mei
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
In Poster Session 06
Yanru Qu · Dinghan Shen · Yelong Shen · Sandra Sajeev · Weizhu Chen · Jiawei Han
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers
In Poster Session 06
Sahil Singla · Soheil Feizi
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
In Poster Session 06
Alex Tamkin · Mike Wu · Noah Goodman
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Attentional Constellation Nets for Few-Shot Learning
In Poster Session 06
Weijian Xu · Yifan Xu · Huaijin Wang · Zhuowen Tu
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Knowledge Distillation as Semiparametric Inference
In Poster Session 06
Tri Dao · Govinda Kamath · Vasilis Syrgkanis · Lester Mackey
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Deep Equals Shallow for ReLU Networks in Kernel Regimes
In Poster Session 06
Alberto Bietti · Francis Bach
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Diverse Video Generation using a Gaussian Process Trigger
In Poster Session 06
Gaurav Shrivastava · Abhinav Shrivastava
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Generalized Variational Continual Learning
In Poster Session 06
Noel Loo · Siddharth Swaroop · Richard E Turner
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
In Poster Session 06
Keyulu Xu · Mozhi Zhang · Jingling Li · Simon Du · Ken-Ichi Kawarabayashi · Stefanie Jegelka
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT) @ Virtual
Topology-Aware Segmentation Using Discrete Morse Theory
In Poster Session 06
Xiaoling Hu · Yusu Wang · Li Fuxin · Dimitris Samaras · Chao Chen
[ Slides] 
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Dataset Inference: Ownership Resolution in Machine Learning
In Poster Session 06
Pratyush Maini · Mohammad Yaghini · Nicolas Papernot
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates
In Poster Session 06
Zengyi Qin · Kaiqing Zhang · Yuxiao Chen · Jingkai Chen · Chuchu Fan
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
In Poster Session 06
Haibo Yang · Minghong Fang · Jia Liu
[ Paper ]
Poster
Tue May 04 05:00 PM -- 07:00 PM (PDT)
Linear Mode Connectivity in Multitask and Continual Learning
In Poster Session 06
Seyed Iman Mirzadeh · Mehrdad Farajtabar · Dilan Gorur · Razvan Pascanu · Hassan Ghasemzadeh
[ Paper ]