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Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Online Ad Hoc Teamwork under Partial Observability
Pengjie Gu · Mengchen Zhao · Jianye HAO · Bo An
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Unified Visual Transformer Compression
Shixing Yu · Tianlong Chen · Jiayi Shen · Huan Yuan · Jianchao Tan · Sen Yang · Ji Liu · Zhangyang Wang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
An Operator Theoretic View On Pruning Deep Neural Networks
William Redman · Maria Fonoberova · Ryan Mohr · Yannis Kevrekidis · Igor Mezic
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
TPU-GAN: Learning temporal coherence from dynamic point cloud sequences
Zijie Li · Tianqin Li · Amir Barati Farimani
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
Tim Franzmeyer · Mateusz Malinowski · Joao F. Henriques
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
Justin Gilmer · Behrooz Ghorbani · Ankush Garg · Sneha Kudugunta · Behnam Neyshabur · David Cardoze · George Dahl · Zachary Nado · Orhan Firat
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Pareto Policy Adaptation
Panagiotis Kyriakis · Jyotirmoy Deshmukh · Paul Bogdan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Autoregressive Quantile Flows for Predictive Uncertainty Estimation
Phillip Si · Allan Bishop · Volodymyr Kuleshov
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop
Peng Jin · Xitong Zhang · Yinpeng Chen · Sharon Huang · Zicheng Liu · Youzuo Lin
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Understanding the Variance Collapse of SVGD in High Dimensions
Jimmy Ba · Murat A Erdogdu · Marzyeh Ghassemi · Shengyang Sun · Taiji Suzuki · Denny Wu · Tianzong Zhang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
Stephan Lorenzen · Christian Igel · Mads Nielsen
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Anti-Concentrated Confidence Bonuses For Scalable Exploration
Jordan Ash · Cyril Zhang · Surbhi Goel · Akshay Krishnamurthy · Sham M Kakade
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
On the relation between statistical learning and perceptual distances
Alexander Hepburn · Valero Laparra · Raul Santos-Rodriguez · Johannes Ballé · Jesus Malo
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation
Pardis Pashakhanloo · Aaditya Naik · Yuepeng Wang · Hanjun Dai · Petros Maniatis · Mayur Naik
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Multi-Stage Episodic Control for Strategic Exploration in Text Games
Jens Tuyls · Shunyu Yao · Sham M Kakade · Karthik Narasimhan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Deep ReLU Networks Preserve Expected Length
Boris Hanin · Ryan Jeong · David Rolnick
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning
Charlie Hou · Kiran Thekumparampil · Giulia Fanti · Sewoong Oh
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
Xingyu Lin · Zhiao Huang · Yunzhu Li · Joshua B Tenenbaum · David Held · Chuang Gan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He · Chunting Zhou · Xuezhe Ma · Taylor Berg-Kirkpatrick · Graham Neubig
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Increasing the Cost of Model Extraction with Calibrated Proof of Work
Adam Dziedzic · Muhammad Ahmad Kaleem · Yu Shen Lu · Nicolas Papernot
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Looking Back on Learned Experiences For Class/task Incremental Learning
Mozhgan Pourkeshavarz · Guoying Zhao · Mohammad Sabokrou
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning Curves for SGD on Structured Features
Blake Bordelon · Cengiz Pehlevan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
Wang Yifan · Lukas Rahmann · Olga Sorkine-hornung
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Boosting Randomized Smoothing with Variance Reduced Classifiers
Miklós Horváth · Mark N Müller · Marc Fischer · Martin Vechev
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Query Embedding on Hyper-Relational Knowledge Graphs
Dimitrios Alivanistos · Max Berrendorf · Michael Cochez · Mikhail Galkin
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions
Arda Sahiner · Tolga Ergen · Batu Ozturkler · Burak Bartan · John M Pauly · Morteza Mardani · Mert Pilanci
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet
Michelle Miller · SueYeon Chung · Ken Miller
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Geometric and Physical Quantities improve E(3) Equivariant Message Passing
Johannes Brandstetter · Rob Hesselink · Elise van der Pol · Erik Bekkers · Max Welling
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
EntQA: Entity Linking as Question Answering
Wenzheng Zhang · Wenyue Hua · Karl Stratos
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Imitation Learning from Observations under Transition Model Disparity
Tanmay Gangwani · Yuan Zhou · Jian Peng
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts
Lingjiao Chen · Peter Bailis · James Y Zou
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen · Wei-Lun Chao
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
An Agnostic Approach to Federated Learning with Class Imbalance
Zebang Shen · Juan Cervino · Hamed Hassani · Alejandro Ribeiro
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
A Zest of LIME: Towards Architecture-Independent Model Distances
Hengrui Jia · Hongyu Chen · Jonas Guan · Ali Shahin Shamsabadi · Nicolas Papernot
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
Rumen R Dangovski · Li Jing · Charlotte Loh · Seungwook Han · Akash Srivastava · Brian Cheung · Pulkit Agrawal · Marin Soljacic
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Mark Hamilton · Zhoutong Zhang · Bharath Hariharan · Noah Snavely · William Freeman
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning to Schedule Learning rate with Graph Neural Networks
Yuanhao Xiong · Li-Cheng Lan · Xiangning Chen · Ruochen Wang · Cho-Jui Hsieh
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Practical Integration via Separable Bijective Networks
Christopher Bender · Patrick Emmanuel · Michael Reiter · Junier Oliva
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Local Feature Swapping for Generalization in Reinforcement Learning
David Bertoin · Emmanuel Rachelson
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Domain Adversarial Training: A Game Perspective
David Acuna · Marc T Law · Guojun Zhang · Sanja Fidler
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Minimax Optimization with Smooth Algorithmic Adversaries
Tanner Fiez · Chi Jin · Praneeth Netrapalli · Lillian J Ratliff
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Non-Linear Operator Approximations for Initial Value Problems
Gaurav Gupta · Xiongye Xiao · Radu Balan · Paul Bogdan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Bag of Instances Aggregation Boosts Self-supervised Distillation
Haohang Xu · Jiemin Fang · XIAOPENG ZHANG · Lingxi Xie · Xinggang Wang · Wenrui Dai · Hongkai Xiong · Qi Tian
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning to Map for Active Semantic Goal Navigation
Georgios Georgakis · Bernadette Bucher · Karl Schmeckpeper · Siddharth Singh · Kostas Daniilidis
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
GiraffeDet: A Heavy-Neck Paradigm for Object Detection
yiqi jiang · Zhiyu Tan · Junyan Wang · Xiuyu Sun · Ming Lin · Li Hao
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
Yinigwei Li · Tiffany Chen · Maya Kabkab · Ruichi Yu · Longlong Jing · Yurong You · Hang Zhao
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Optimization and Adaptive Generalization of Three layer Neural Networks
Khashayar Gatmiry · Stefanie Jegelka · Jonathan Kelner
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Todor Davchev · Oleg Sushkov · Jean-Baptiste Regli · Stefan Schaal · Yusuf Aytar · Markus Wulfmeier · Jon Scholz
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
Junyuan Hong · Haotao Wang · Zhangyang Wang · Jiayu Zhou
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective
Alberto Bietti
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models
Luke Melas-Kyriazi · Christian Rupprecht · Iro Laina · Andrea Vedaldi
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Attention-based Interpretability with Concept Transformers
Mattia Rigotti · Christoph Miksovic · Ioana Giurgiu · Thomas Gschwind · Paolo Scotton
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Programmatic Reinforcement Learning without Oracles
Wenjie Qiu · He Zhu
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Cédric Allain · Alexandre Gramfort · Thomas Moreau
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Can an Image Classifier Suffice For Action Recognition?
Quanfu Fan · Chun-Fu (Richard) Chen · Rameswar Panda
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
Ada Wan
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems
Hadi Abdullah · Aditya Karlekar · Vincent Bindschaedler · Patrick Traynor
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets
Hui Jin · Pradeep Kumar Banerjee · Guido Montufar
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
Vikash Sehwag · Saeed Mahloujifar · Tinashe Handina · Sihui Dai · Chong Xiang · Mung Chiang · Prateek Mittal
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Monotonic Differentiable Sorting Networks
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
Ashwin Paranjape · Omar Khattab · Christopher Potts · Peter Bailis · Christopher Manning
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Mirror Descent Policy Optimization
Manan Tomar · Lior Shani · Yonathan Efroni · Mohammad Ghavamzadeh
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning more skills through optimistic exploration
DJ Strouse · Kate Baumli · David Warde-Farley · Volodymyr Mnih · Steven Hansen
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
Mark Hamilton · Scott Lundberg · Stephanie Fu · Lei Zhang · William Freeman
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
How many degrees of freedom do we need to train deep networks: a loss landscape perspective
Brett Larsen · Stanislav Fort · Nic Becker · Surya Ganguli
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Energy-Inspired Molecular Conformation Optimization
Jiaqi Guan · Wei Qian · Qiang Liu · Wei-Ying Ma · Jianzhu Ma · Jian Peng
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Benjamin Eysenbach · Sergey Levine
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
FILM: Following Instructions in Language with Modular Methods
So Yeon Min · Devendra Singh Chaplot · Pradeep K Ravikumar · Yonatan Bisk · Ruslan Salakhutdinov
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
Sherry Yang · Sergey Levine · Ofir Nachum
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Language-biased image classification: evaluation based on semantic representations
Yoann Lemesle · Masataka Sawayama · Guillermo Valle-Perez · Maxime Adolphe · Hélène Sauzéon · Pierre-Yves Oudeyer
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Pix2seq: A Language Modeling Framework for Object Detection
Ting Chen · Saurabh Saxena · Lala Li · David Fleet · Geoffrey Hinton
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
Ruinan Jin · Yu XING · Xingkang He
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Domino: Discovering Systematic Errors with Cross-Modal Embeddings
Sabri Eyuboglu · Maya Varma · Khaled Saab · Jean-Benoit Delbrouck · Christopher Lee-Messer · Jared Dunnmon · James Y Zou · Christopher Re
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
Vadim Popov · Ivan Vovk · Vladimir Gogoryan · Tasnima Sadekova · Mikhail Kudinov · Jiansheng Wei
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
Dingfan Chen · Ning Yu · Mario Fritz
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Compositional Attention: Disentangling Search and Retrieval
Sarthak Mittal · Sharath Chandra Raparthy · Irina Rish · Yoshua Bengio · Guillaume Lajoie
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Bregman Gradient Policy Optimization
Feihu Huang · Shangqian Gao · Heng Huang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach
Rafid Mahmood · Sanja Fidler · Marc T Law
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Explanations of Black-Box Models based on Directional Feature Interactions
Aria Masoomi · Davin Hill · Zhonghui Xu · Craig Hersh · Edwin Silverman · Peter Castaldi · Stratis Ioannidis · Jennifer Dy
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Language model compression with weighted low-rank factorization
Yen-Chang Hsu · Ting Hua · Sung-En Chang · Qian Lou · Yilin Shen · Hongxia Jin
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
Yusong Wu · Ethan Manilow · Yi Deng · Rigel Swavely · Kyle Kastner · Timotheus Cooijmans · Aaron Courville · Anna Huang · Jesse Engel
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Sparse Communication via Mixed Distributions
António Farinhas · Wilker Aziz · Vlad Niculae · Andre Martins
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Proof Artifact Co-Training for Theorem Proving with Language Models
Jesse Han · Jason Rute · Yuhuai Wu · Edward Ayers · Stanislas Polu
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes · Jean Ponce · Yann LeCun
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Dinghuai Zhang · Jie Fu · Yoshua Bengio · Aaron Courville
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Message Passing Neural PDE Solvers
Johannes Brandstetter · Daniel Worrall · Max Welling
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games
Dingyang Chen · Yile Li · Qi Zhang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Victor Schmidt · Alexandra Luccioni · Mélisande Teng · Tianyu Zhang · Alexia Reynaud · Sunand Raghupathi · Gautier Cosne · Adrien Juraver · Vahe Vardanyan · Alex Hernandez-Garcia · Yoshua Bengio
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Possibility Before Utility: Learning And Using Hierarchical Affordances
Robert S Costales · Shariq Iqbal · Fei Sha
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions
Shaochen (Henry) Zhong · Guanqun Zhang · Ningjia Huang · shuai xu
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
Shichang Zhang · Yozen Liu · Yizhou Sun · Neil Shah
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Overcoming The Spectral Bias of Neural Value Approximation
Ge Yang · Anurag Ajay · Pulkit Agrawal
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes
QI LI · Kaichun Mo · Yanchao Yang · Hang Zhao · Leonidas Guibas
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Lossless Compression with Probabilistic Circuits
Anji Liu · Stephan Mandt · Guy Van den Broeck
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks
S Chandra Mouli · Bruno Ribeiro
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space
Lun Wang · Iosif Pinelis · Dawn Song
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Equivariant Subgraph Aggregation Networks
Beatrice Bevilacqua · Fabrizio Frasca · Derek Lim · Balasubramaniam Srinivasan · Chen Cai · GOPINATH BALAMURUGAN · Michael Bronstein · Haggai Maron
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Liam H Fowl · Jonas Geiping · Wojciech Czaja · Micah Goldblum · Tom Goldstein
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
Xiaobo Xia · Tongliang Liu · Bo Han · Mingming Gong · Jun Yu · Gang Niu · Masashi Sugiyama
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
Yanchao Sun · Ruijie Zheng · Yongyuan Liang · Furong Huang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning Object-Oriented Dynamics for Planning from Text
Guiliang Liu · Ashutosh Adhikari · Amir-massoud Farahmand · Pascal Poupart
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Learning-Augmented $k$-means Clustering
Jon Ergun · Zhili Feng · Sandeep Silwal · David Woodruff · Samson Zhou
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Autonomous Reinforcement Learning: Formalism and Benchmarking
Archit Sharma · Kelvin Xu · Nikhil Sardana · Abhishek Gupta · Karol Hausman · Sergey Levine · Chelsea Finn
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
New Insights on Reducing Abrupt Representation Change in Online Continual Learning
Lucas Caccia · Rahaf Aljundi · Nader Asadi · Tinne Tuytelaars · Joelle Pineau · Eugene Belilovsky
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Representation Learning for Online and Offline RL in Low-rank MDPs
Masatoshi Uehara · Xuezhou Zhang · Wen Sun
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT) @ Virtual
Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics
Deshan Gong · Zhanxing Zhu · Andrew Bulpitt · He Wang
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs
Andjela Mladenovic · Iosif Sakos · Gauthier Gidel · Georgios Piliouras
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Conditional Object-Centric Learning from Video
Thomas Kipf · Gamaleldin Elsayed · Aravindh Mahendran · Austin Stone · Sara Sabour · Georg Heigold · Rico Jonschkowski · Alexey Dosovitskiy · Klaus Greff
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
Johannes Müller · Guido Montufar
Poster
Thu Apr 28 10:30 AM -- 12:30 PM (PDT)
Properties from mechanisms: an equivariance perspective on identifiable representation learning
Kartik Ahuja · Jason Hartford · Yoshua Bengio