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Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Autoregressive Diffusion Models
Emiel Hoogeboom · Alexey Gritsenko · Jasmijn Bastings · Ben Poole · Rianne van den Berg · Tim Salimans
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability
Shangmin Guo · YI REN · Kory Mathewson · Simon Kirby · Stefano Albrecht · Kenny Smith
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning Long-Term Reward Redistribution via Randomized Return Decomposition
Zhizhou Ren · Ruihan Guo · Yuan Zhou · Jian Peng
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Training Structured Neural Networks Through Manifold Identification and Variance Reduction
Zih-Syuan Huang · Ching-pei Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du · Xiantong Zhen · Ling Shao · Cees G Snoek
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Sang-gil Lee · Heeseung Kim · Chaehun Shin · Xu Tan · Chang Liu · Qi Meng · Tao Qin · Wei Chen · Sungroh Yoon · Tie-Yan Liu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Joint Shapley values: a measure of joint feature importance
Chris Harris · Richard Pymar · Colin Rowat
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Bayesian Neural Network Priors Revisited
Vincent Fortuin · Adrià Garriga-Alonso · Sebastian Ober · Florian Wenzel · Gunnar Ratsch · Richard E Turner · Mark van der Wilk · Laurence Aitchison
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
End-to-End Learning of Probabilistic Hierarchies on Graphs
Daniel Zügner · Bertrand Charpentier · Morgane Ayle · Sascha Geringer · Stephan Günnemann
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Takuya Hiraoka · Takahisa Imagawa · Taisei Hashimoto · Takashi Onishi · Yoshimasa Tsuruoka
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Unsupervised Disentanglement with Tensor Product Representations on the Torus
Michael Rotman · Amit Dekel · shir gur · Yaron Oz · Lior Wolf
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Scale Mixtures of Neural Network Gaussian Processes
Hyungi Lee · Eunggu Yun · Hongseok Yang · Juho Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Fan Bao · Chongxuan Li · Jun Zhu · Bo Zhang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Rahim Entezari · Hanie Sedghi · Olga Saukh · Behnam Neyshabur
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo · Yuxian Qiu · Jingwen Leng · Xiaotian Gao · Chen Zhang · Yunxin Liu · Fan Yang · Yuhao Zhu · Minyi Guo
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
High Probability Generalization Bounds with Fast Rates for Minimax Problems
Shaojie Li · Yong Liu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder
Zhenqiao Song · Hao Zhou · Lihua Qian · Jingjing Xu · Shanbo Cheng · Mingxuan Wang · Lei Li
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles · Sven Gowal · Florian Stimberg · Sylvestre-Alvise Rebuffi · Ira Ktena · Krishnamurthy Dvijotham · Ali Taylan Cemgil
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods
Nikhil Ghosh · Song Mei · Bin Yu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
Yatao Bian · Yu Rong · Tingyang Xu · Jiaxiang Wu · Andreas Krause · Junzhou Huang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Boosted Curriculum Reinforcement Learning
Pascal Klink · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Graph-based Nearest Neighbor Search in Hyperbolic Spaces
Liudmila Prokhorenkova · Dmitry Baranchuk · Nikolay Bogachev · Yury Demidovich · Alexander Kolpakov
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Variational Neural Cellular Automata
Rasmus Berg Palm · Miguel Gonzalez-Duque · Shyam Sudhakaran · Sebastian Risi
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Temporally Causal Latent Processes from General Temporal Data
Weiran Yao · Yuewen Sun · Alex Ho · Changyin Sun · Kun Zhang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Generalisation in Lifelong Reinforcement Learning through Logical Composition
Geraud Nangue Tasse · Steven James · Benjamin Rosman
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani · Fahad Sarfraz · Bahram Zonooz
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
baeseong park · Se Jung Kwon · Daehwan Oh · Byeonguk Kim · Dongsoo Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Victor Weixin Liang · James Y Zou
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Bootstrapping Semantic Segmentation with Regional Contrast
Shikun Liu · Shuaifeng Zhi · Edward Johns · Andrew Davison
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Steerable Partial Differential Operators for Equivariant Neural Networks
Erik Jenner · Maurice Weiler
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Shiwei Liu · Tianlong Chen · Zahra Atashgahi · Xiaohan Chen · Ghada Sokar · Elena Mocanu · Mykola Pechenizkiy · Zhangyang Wang · Decebal Mocanu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Andrew Jaegle · Sebastian Borgeaud · Jean-Baptiste Alayrac · Carl Doersch · Catalin Ionescu · Fengning Ding · Skanda Koppula · Daniel Zoran · Andrew Brock · Evan Shelhamer · Olivier Henaff · Matthew Botvinick · Andrew Zisserman · Oriol Vinyals · Joao Carreira
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali · Zhenyu Liao · Romain Couillet
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
8-bit Optimizers via Block-wise Quantization
Tim Dettmers · Mike Lewis · Sam Shleifer · Luke Zettlemoyer
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing
Iro Laina · Yuki Asano · Andrea Vedaldi
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search
Hyeonmin Ha · Ji Hoon Kim · Semin Park · Byung-Gon Chun
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs
Cédric Vincent-Cuaz · Rémi Flamary · Marco Corneli · Titouan Vayer · Nicolas Courty
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Nate Gruver · Marc A Finzi · Samuel Stanton · Andrew Wilson
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
On Incorporating Inductive Biases into VAEs
Ning Miao · Emile Mathieu · Siddharth N · Yee Whye Teh · Tom Rainforth
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning to Generalize across Domains on Single Test Samples
Zehao Xiao · Xiantong Zhen · Ling Shao · Cees G Snoek
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms
Simin Hong · Anthony Cohn · David Hogg
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
Zhenyu Zhu · Fabian Latorre · Grigorios Chrysos · Volkan Cevher
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
Shiwei Liu · Tianlong Chen · Xiaohan Chen · Li Shen · Decebal Mocanu · Zhangyang Wang · Mykola Pechenizkiy
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Boosting the Certified Robustness of L-infinity Distance Nets
Bohang Zhang · Du Jiang · Di He · Liwei Wang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Spanning Tree-based Graph Generation for Molecules
Sungsoo Ahn · Binghong Chen · Tianzhe Wang · Le Song
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Efficient Neural Causal Discovery without Acyclicity Constraints
Phillip Lippe · Taco Cohen · Efstratios Gavves
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Yongqiang Chen · Han Yang · Yonggang Zhang · MA KAILI · Tongliang Liu · Bo Han · James Cheng
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Mohamad Shahbazi · Martin Danelljan · Danda Paudel · Luc Van Gool
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
Changchun Li · Ximing Li · Lei Feng · Jihong Ouyang
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Generative Modeling with Optimal Transport Maps
Litu Rout · Alexander Korotin · Evgeny Burnaev
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
The Role of Pretrained Representations for the OOD Generalization of RL Agents
Frederik Träuble · Andrea Dittadi · Manuel Wuthrich · Felix Widmaier · Peter Gehler · Ole Winther · Francesco Locatello · Olivier Bachem · Bernhard Schoelkopf · Stefan Bauer
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Topological Graph Neural Networks
Max Horn · Edward De Brouwer · Michael Moor · Yves Moreau · Bastian Rieck · Karsten Borgwardt
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Sample and Computation Redistribution for Efficient Face Detection
Jia Guo · Jiankang Deng · Alexandros Lattas · Stefanos Zafeiriou
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Imbedding Deep Neural Networks
Andrew Corbett · Dmitry Kangin
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Mohammed Haroon Dupty · Yanfei Dong · Wee Sun Lee
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
Yuanxiong Guo · Ying Sun · Rui Hu · Yanmin Gong
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Learning Synthetic Environments and Reward Networks for Reinforcement Learning
Fabio Ferreira · Thomas Nierhoff · Andreas Sälinger · Frank Hutter
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Top-label calibration and multiclass-to-binary reductions
Chirag Gupta · Aaditya Ramdas
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Constrained Policy Optimization via Bayesian World Models
Yarden As · Ilnura Usmanova · Sebastian Curi · Andreas Krause
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT) @ Virtual
Evidential Turing Processes
Melih Kandemir · Abdullah Akgül · Manuel Haussmann · Gozde Unal
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans · Jonathan Ho
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Memory Replay with Data Compression for Continual Learning
Liyuan Wang · Xingxing Zhang · Kuo Yang · Longhui Yu · Chongxuan Li · Lanqing HONG · Shifeng Zhang · Zhenguo Li · Yi Zhong · Jun Zhu
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Goal-Directed Planning via Hindsight Experience Replay
Lorenzo Moro · Amarildo Likmeta · Enrico Prati · Marcello Restelli
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Fangyu Liu · Yunlong Jiao · Jordan Massiah · Emine Yilmaz · Serhii Havrylov
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
Milad Alizadeh · Shyam Tailor · Luisa Zintgraf · Joost van Amersfoort · Sebastian Farquhar · Nicholas Lane · Yarin Gal
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Stability Regularization for Discrete Representation Learning
Adeel Pervez · Efstratios Gavves
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Anytime Dense Prediction with Confidence Adaptivity
Zhuang Liu · Zhiqiu Xu · Hung-Ju Wang · trevor darrell · Evan Shelhamer
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Adversarial Retriever-Ranker for Dense Text Retrieval
Hang Zhang · Yeyun Gong · Yelong Shen · Jiancheng Lv · Nan Duan · Weizhu Chen
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Non-Parallel Text Style Transfer with Self-Parallel Supervision
Ruibo Liu · CHONGYANG GAO · Chenyan Jia · Guangxuan Xu · Soroush Vosoughi
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Signing the Supermask: Keep, Hide, Invert
Nils Koster · Oliver Grothe · Achim Rettinger
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
On the Existence of Universal Lottery Tickets
Rebekka Burkholz · Nilanjana Laha · Rajarshi Mukherjee · Alkis Gotovos
Poster
Mon Apr 25 02:30 AM -- 04:30 AM (PDT)
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood · Ian Mason · Chris Williams · Bernhard Schoelkopf