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Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Expressiveness and Approximation Properties of Graph Neural Networks
Floris Geerts · Juan L. Reutter
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
Zhiyuan Li · Tianhao Wang · Sanjeev Arora
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shikuang Deng · Yuhang Li · Shanghang Zhang · Shi Gu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Improving Non-Autoregressive Translation Models Without Distillation
Xiao Shi (Gary) Huang · Felipe Perez · Maksims Volkovs
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Wei Ji · Jingjing Li · Qi Bi · chuan guo · Jie Liu · Li Cheng
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease
Sayan Ghosal · Qiang Chen · Giulio Pergola · Aaron Goldman · William Ulrich · Daniel Weinberger · Archana Venkataraman
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GradMax: Growing Neural Networks using Gradient Information
Utku Evci · Bart van Merrienboer · Thomas Unterthiner · Fabian Pedregosa · Max Vladymyrov
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
Zhenfang Chen · Kexin Yi · Yunzhu Li · Mingyu Ding · Antonio Torralba · Joshua B Tenenbaum · Chuang Gan
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Policy Smoothing for Provably Robust Reinforcement Learning
Aounon Kumar · Alexander Levine · Soheil Feizi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
Pingchuan Ma · Tao Du · Joshua B Tenenbaum · Wojciech Matusik · Chuang Gan
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Know Your Action Set: Learning Action Relations for Reinforcement Learning
Ayush Jain · Norio Kosaka · Kyung-Min Kim · Joseph Lim
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Leon Sixt · Martin Schuessler · Oana-Iuliana Popescu · Philipp Weiß · Tim Landgraf
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Is Importance Weighting Incompatible with Interpolating Classifiers?
Ke Wang · Niladri Chatterji · Saminul Haque · Tatsunori Hashimoto
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Feature Kernel Distillation
Bobby He · Mete Ozay
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh · Albert Webson · Colin Raffel · Stephen Bach · Lintang Sutawika · Zaid Alyafeai · Antoine Chaffin · Arnaud Stiegler · Arun Raja · Manan Dey · M Saiful Bari · Canwen Xu · Urmish Thakker · Shanya Sharma · Eliza Szczechla · Taewoon Kim · Gunjan Chhablani · Nihal Nayak · Debajyoti Datta · Jonathan Chang · Mike Tian-Jian Jiang · Han Wang · Matteo Manica · Sheng Shen · Zheng Xin Yong · Harshit Pandey · Rachel Bawden · Thomas Wang · Trishala Neeraj · Jos Rozen · Abheesht Sharma · Andrea Santilli · Thibault Fevry · Jason Fries · Ryan Teehan · Teven Le Scao · Stella R Biderman · Leo Gao · Thomas Wolf · Alexander M Rush
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Octavian Ganea · xinyuan huang · Charlotte Bunne · Yatao Bian · Regina Barzilay · Tommi Jaakkola · Andreas Krause
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song · Liyue Shen · Lei Xing · Stefano Ermon
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
Alizée Pace · Alex Chan · Mihaela van der Schaar
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GradSign: Model Performance Inference with Theoretical Insights
Zhihao Zhang · Zhihao Jia
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla · Surbhi Singla · Soheil Feizi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
MetaMorph: Learning Universal Controllers with Transformers
Agrim Gupta · Jim Fan · Surya Ganguli · Li Fei-Fei
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
Ziwei Guan · Tengyu Xu · Yingbin Liang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts
Benjamin Newman · Prafulla Kumar Choubey · Nazneen Rajani
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations
Ruicheng Xian · Heng Ji · Han Zhao
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions
Moise Blanchard · Mohammed Amine Bennouna
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Anuroop Sriram · Abhishek Das · Brandon Wood · Siddharth Goyal · Larry Zitnick
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing · Pascal Vincent · Yann LeCun · Yuandong Tian
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
Keir Adams · Lagnajit Pattanaik · Connor Coley
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
Maximilian Seitzer · Arash Tavakoli · Dimitrije Antic · Georg Martius
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Variational methods for simulation-based inference
Manuel Glöckler · Michael Deistler · Jakob Macke
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
Chen Zhu · Zheng Xu · Mingqing Chen · Jakub Konečný · Andrew Hard · Tom Goldstein
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Selective Ensembles for Consistent Predictions
Emily Black · Klas Leino · Matt Fredrikson
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan · Yanchao Yang · Kaichun Mo · Yueqi Duan · Leonidas Guibas
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Synchromesh: Reliable Code Generation from Pre-trained Language Models
Gabriel Poesia · Alex Polozov · Vu Le · Ashish Tiwari · Gustavo Soares · Christopher Meek · Sumit Gulwani
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Differentiable Scaffolding Tree for Molecule Optimization
Tianfan Fu · Wenhao Gao · Cao Xiao · Jacob Yasonik · Connor Coley · Jimeng Sun
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Granger causal inference on DAGs identifies genomic loci regulating transcription
Alexander Wu · Rohit Singh · Bonnie Berger
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Curriculum learning as a tool to uncover learning principles in the brain
Daniel R Kepple · Rainer Engelken · Kanaka Rajan
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings
Dhruvesh Patel · Pavitra Dangati · Jay-Yoon Lee · Michael Boratko · Andrew McCallum
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS
Namjoon Suh · Hyunouk Ko · Xiaoming Huo
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
Sagar Vaze · Kai Han · Andrea Vedaldi · Andrew Zisserman
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
BAM: Bayes with Adaptive Memory
Josue Nassar · Jennifer Brennan · Ben Evans · Kendall Lowrey
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Predicting Physics in Mesh-reduced Space with Temporal Attention
XU HAN · Han Gao · Tobias Pfaff · Jian-Xun Wang · Liping Liu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
Dennis Wu · Di-Nan Lin · Vincent Chen · Hung-Hsuan Chen
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models
Xiaofang Wang · Dan Kondratyuk · Eric Christiansen · Kris Kitani · Yair Movshovitz-Attias · Elad Eban
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Online Adversarial Attacks
Andjela Mladenovic · Joey Bose · Hugo Berard · William Hamilton · Simon Lacoste-Julien · Pascal Vincent · Gauthier Gidel
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
Bogdan Mazoure · Ahmed Ahmed · R Devon Hjelm · Andrey Kolobov · Patrick MacAlpine
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
The MultiBERTs: BERT Reproductions for Robustness Analysis
Thibault Sellam · Steve Yadlowsky · Ian Tenney · Jason Wei · Naomi Saphra · Alexander D'Amour · Tal Linzen · Jasmijn Bastings · Iulia Turc · Jacob Eisenstein · Dipanjan Das · Ellie Pavlick
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Policy Gradients Incorporating the Future
David Venuto · Elaine Lau · Doina Precup · Ofir Nachum
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Finetuned Language Models are Zero-Shot Learners
Jason Wei · Maarten Bosma · Vincent Zhao · Kelvin Guu · Wei Yu · Brian Lester · Nan Du · Andrew Dai · Quoc V Le
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
VC dimension of partially quantized neural networks in the overparametrized regime
Yutong Wang · Clayton Scott
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Planning in Stochastic Environments with a Learned Model
Ioannis Antonoglou · Julian Schrittwieser · Sherjil Ozair · Thomas Hubert · David Silver
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Label Encoding for Regression Networks
Deval Shah · Zi Yu Xue · Tor Aamodt
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provably Robust Adversarial Examples
Dimitar I. Dimitrov · Gagandeep Singh · Timon Gehr · Martin Vechev
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT
Huan Liu · George Zhang · Jun Chen · Ashish Khisti
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
Jingchao Ni · Wei Cheng · Zhengzhang Chen · Takayoshi Asakura · Tomoya Soma · Sho Kato · Haifeng Chen
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Yu Meng · Chenyan Xiong · Payal Bajaj · saurabh tiwary · Paul N Bennett · Jiawei Han · Xia Song
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
Xinchi Qiu · Javier Fernandez-Marques · Pedro Porto Buarque de Gusmao · Yan Gao · Titouan Parcollet · Nicholas Lane
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
One After Another: Learning Incremental Skills for a Changing World
Nur Muhammad Shafiullah · Lerrel Pinto
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Xu Ma · Can Qin · Haoxuan You · Haoxi Ran · Yun Fu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Evaluating Distributional Distortion in Neural Language Modeling
Benjamin LeBrun · Alessandro Sordoni · Timothy O'Donnell
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Uncomputability of Partition Functions in Energy-Based Sequence Models
Chu-Cheng Lin · Arya McCarthy
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Towards Model Agnostic Federated Learning Using Knowledge Distillation
Andrei Afonin · Sai Karimireddy
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
Sugandha Sharma · Aidan Curtis · Marta Kryven · Joshua B Tenenbaum · Ila Fiete
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Meta-Learning with Fewer Tasks through Task Interpolation
Huaxiu Yao · Linjun Zhang · Chelsea Finn
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Transfer RL across Observation Feature Spaces via Model-Based Regularization
Yanchao Sun · Ruijie Zheng · Xiyao Wang · Andrew Cohen · Furong Huang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Subspace Regularizers for Few-Shot Class Incremental Learning
Afra Feyza Akyürek · Ekin Akyürek · Derry Wijaya · Jacob Andreas
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Dual Lottery Ticket Hypothesis
Yue Bai · Huan Wang · Zhiqiang Tao · Kunpeng Li · Yun Fu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Scaling Laws for Neural Machine Translation
Behrooz Ghorbani · Orhan Firat · Markus Freitag · Ankur Bapna · Maxim Krikun · Xavier Garcia · Ciprian Chelba · Colin Cherry
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING
Huan He · Shifan Zhao · Yuanzhe Xi · Joyce Ho · Yousef Saad
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs
Sitan Chen · Jerry Li · Yuanzhi Li · Raghu Meka
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features
Greg Yang · Michael Santacroce · Edward Hu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Efficient Active Search for Combinatorial Optimization Problems
André Hottung · Yeong Dae Kwon · Kevin Tierney
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation
Bichen Wu · Ruizhe Cheng · Peizhao Zhang · Tianren Gao · Joseph E Gonzalez · Peter Vajda
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
On the Role of Neural Collapse in Transfer Learning
Tomer Galanti · Andras Gyorgy · Marcus Hutter
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Discrete Representations Strengthen Vision Transformer Robustness
Chengzhi Mao · Lu Jiang · Mostafa Dehghani · Carl Vondrick · Rahul Sukthankar · Irfan Essa
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
Eli Chien · Chao Pan · Jianhao Peng · Olgica Milenkovic
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Bootstrapped Meta-Learning
Sebastian Flennerhag · Yannick Schroecker · Tom Zahavy · Hado van Hasselt · David Silver · Satinder Singh
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks
Siyan Liu · Pei Zhang · Dan Lu · Guannan Zhang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Fairness Guarantees under Demographic Shift
Stephen Giguere · Blossom Metevier · Bruno Silva · Yuriy Brun · Philip Thomas · Scott Niekum
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
Yan Li · Dhruv Choudhary · Xiaohan Wei · Baichuan Yuan · Bhargav Bhushanam · Tuo Zhao · Guanghui Lan
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Generalized Kernel Thinning
Raaz Dwivedi · Lester Mackey
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin Hudson · Qingbiao Li · Matthew Malencia · Amanda Prorok
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
Jinyuan Jia · Binghui Wang · Xiaoyu Cao · Hongbin Liu · Neil Gong
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction
Roger Girgis · Florian Golemo · Felipe Codevilla · Martin Weiss · Jim D'Souza · Samira Ebrahimi Kahou · Felix Heide · Chris J Pal
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Fine-Tuning Approach to Belief State Modeling
Samuel Sokota · Hengyuan Hu · David Wu · Zico Kolter · Jakob Foerster · Noam Brown
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
Arber Zela · Julien Niklas Siems · Lucas Zimmer · Jovita Lukasik · Margret Keuper · Frank Hutter
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
Rob Brekelmans · Sicong(Sheldon) Huang · Marzyeh Ghassemi · Greg Ver Steeg · Roger Grosse · Alireza Makhzani
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Carles Domingo i Enrich · Youssef Mroueh
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
The Uncanny Similarity of Recurrence and Depth
Avi Schwarzschild · Arjun Gupta · Amin Ghiasi · Micah Goldblum · Tom Goldstein
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning
Yunchang Yang · Tianhao Wu · Han Zhong · Evrard Garcelon · Matteo Pirotta · Alessandro Lazaric · Liwei Wang · Simon Du
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Maximizing Ensemble Diversity in Deep Reinforcement Learning
Hassam Sheikh · mariano Phielipp · Ladislau Boloni
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Interpretable Unsupervised Diversity Denoising and Artefact Removal
Mangal Prakash · Mauricio Delbracio · Peyman Milanfar · Florian Jug
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond)
Kristof Meding · Luca Schulze Buschoff · Robert Geirhos · Felix Wichmann
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning Neural Contextual Bandits through Perturbed Rewards
Yiling Jia · Weitong ZHANG · Dongruo Zhou · Quanquan Gu · Hongning Wang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Stiffness-aware neural network for learning Hamiltonian systems
SENWEI Liang · Zhongzhan Huang · Hong Zhang
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning
Samet Cetin · Orhun Baran · Ramazan Gokberk Cinbis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Sai Karimireddy · Lie He · Martin Jaggi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press · Noah Smith · Mike Lewis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Optimizing Neural Networks with Gradient Lexicase Selection
Li Ding · Lee Spector
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Learning Value Functions from Undirected State-only Experience
Matthew Chang · Arjun Gupta · Saurabh Gupta
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models
Chen Liang · Haoming Jiang · Simiao Zuo · Xz W · Xiaodong Liu · Jianfeng Gao · Weizhu Chen · Tuo Zhao
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward
FNU Hairi · Jia Liu · Songtao Lu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie · Aditi Raghunathan · Percy Liang · Tengyu Ma
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Leveraging unlabeled data to predict out-of-distribution performance
Saurabh Garg · Sivaraman Balakrishnan · Zachary Lipton · Behnam Neyshabur · Hanie Sedghi
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Permutation-Based SGD: Is Random Optimal?
Shashank Rajput · Kangwook Lee · Dimitris Papailiopoulos
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
Chao Ma · Lexing Ying
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
Boris Oreshkin · Florent Bocquelet · Felix G. Harvey · Bay Raitt · Dominic Laflamme
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Revisiting flow generative models for Out-of-distribution detection
Dihong Jiang · Sun Sun · Yaoliang Yu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Data-Driven Offline Optimization for Architecting Hardware Accelerators
Aviral Kumar · Amir Yazdanbakhsh · Milad Hashemi · Kevin Swersky · Sergey Levine
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT) @ Virtual
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
Zhen Xiang · David Miller · George Kesidis
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
Zihan Zhou · Wei Fu · Bingliang Zhang · Yi Wu
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
Juncheng Dong · Simiao Ren · Yang Deng · Omar Khatib · Jordan Malof · Mohammadreza Soltani · Willie Padilla · VAHID TAROKH
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Prototype memory and attention mechanisms for few shot image generation
Tianqin Li · Zijie Li · Andrew Luo · Harold Rockwell · Amir Barati Farimani · Tai Lee
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
Nico Courts · Henry Kvinge
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang · Marko Zeman · Theodoros Tsiligkaridis · Marinka Zitnik
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
Tianrong Chen · Guan-Horng Liu · Evangelos Theodorou
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
Majid Jahani · Sergey Rusakov · Zheng Shi · Peter Richtarik · Michael W Mahoney · Martin Takac
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
A global convergence theory for deep ReLU implicit networks via over-parameterization
Tianxiang Gao · Hailiang Liu · Jia Liu · Hridesh Rajan · Hongyang Gao
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Provable Adaptation across Multiway Domains via Representation Learning
Zhili Feng · Shaobo Han · Simon Du
Poster
Tue Apr 26 10:30 AM -- 12:30 PM (PDT)
Triangle and Four Cycle Counting with Predictions in Graph Streams
Justin Chen · Talya Eden · Piotr Indyk · Honghao Lin · Shyam Narayanan · Ronitt Rubinfeld · Sandeep Silwal · Tal Wagner · David Woodruff · Michael Zhang