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Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Rethinking Supervised Pre-Training for Better Downstream Transferring
Yutong Feng · Jianwen Jiang · Mingqian Tang · Rong Jin · Yue Gao
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
Shilong Liu · Feng Li · Hao Zhang · Xiao Yang · Xianbiao Qi · Hang Su · Jun Zhu · Lei Zhang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Marc Vischer · Robert Lange · Henning Sprekeler
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
MAML is a Noisy Contrastive Learner in Classification
Chia-Hsiang Kao · Wei-Chen Chiu · Pin-Yu Chen
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
Stefanos Leonardos · Will Overman · Ioannis Panageas · Georgios Piliouras
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
NeuPL: Neural Population Learning
SIQI LIU · Luke Marris · Daniel Hennes · Josh Merel · Nicolas Heess · Thore Graepel
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning Optimal Conformal Classifiers
David Stutz · Krishnamurthy Dvijotham · Ali Taylan Cemgil · Arnaud Doucet
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo · Chenghao Liu · Doyen Sahoo · Akshat Kumar · Steven Hoi
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION
Qu Tang · Xiangyu Zhu · Zhen Lei · Zhaoxiang Zhang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Augmented Sliced Wasserstein Distances
Xiongjie Chen · Yongxin Yang · Yunpeng Li
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction
Jérémie DONA · Marie Déchelle · patrick gallinari · Marina Levy
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A First-Occupancy Representation for Reinforcement Learning
Ted Moskovitz · Spencer Wilson · Maneesh Sahani
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
The Evolution of Uncertainty of Learning in Games
Yun Kuen Cheung · Georgios Piliouras · Yixin Tao
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Top-N: Equivariant Set and Graph Generation without Exchangeability
Clément Vignac · Pascal Frossard
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Do We Need Anisotropic Graph Neural Networks?
Shyam Tailor · Felix Opolka · Pietro Lio · Nicholas Lane
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Relational Learning with Variational Bayes
Kuang-Hung Liu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs
Jason McEwen · Christopher Wallis · Augustine Mavor-Parker
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
Hanyu Peng · Mingming Sun · Ping Li
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Learning meta-features for AutoML
Herilalaina Rakotoarison · Louisot Milijaona · Andry RASOANAIVO · Michele Sebag · Marc Schoenauer
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
Asiri Wijesinghe · Qing Wang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Delaunay Component Analysis for Evaluation of Data Representations
Petra Poklukar · Vladislav Polianskii · Anastasiia Varava · Florian T. Pokorny · Danica Kragic
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Large-Scale Representation Learning on Graphs via Bootstrapping
Shantanu Thakoor · Corentin Tallec · Mohammad Gheshlaghi Azar · Mehdi Azabou · Eva Dyer · Remi Munos · Petar Veličković · Michal Valko
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang · Luoqiu Li · Xiang Chen · Shumin Deng · Zhen Bi · Chuanqi Tan · Fei Huang · Huajun Chen
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Jakub Grudzien Kuba · Ruiqing Chen · Muning Wen · Ying Wen · Fanglei Sun · Jun Wang · Yaodong Yang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning to Downsample for Segmentation of Ultra-High Resolution Images
Chen Jin · Ryutaro Tanno · Thomy Mertzanidou · Eleftheria Panagiotaki · Daniel Alexander
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Gradient Step Denoiser for convergent Plug-and-Play
Samuel Hurault · Arthur Leclaire · Nicolas Papadakis
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling
Bo Wan · Wenjuan Han · Zilong Zheng · Tinne Tuytelaars
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Program to Build E(N)-Equivariant Steerable CNNs
Gabriele Cesa · Leon Lang · Maurice Weiler
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data
Marine Schimel · Ta-Chu Kao · Kristopher Jensen · Guillaume Hennequin
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Sound Adversarial Audio-Visual Navigation
Yinfeng Yu · Wenbing Huang · Fuchun Sun · Changan Chen · Yikai Wang · Xiaohong Liu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
PiCO: Contrastive Label Disambiguation for Partial Label Learning
Haobo Wang · Ruixuan Xiao · Yixuan Li · Lei Feng · Gang Niu · Gang Chen · Junbo Zhao
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
Geon-Hyeong Kim · Seokin Seo · Jongmin Lee · Wonseok Jeon · HyeongJoo Hwang · Hongseok Yang · Kee-Eung Kim
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
Max W. Y. Lam · Jun Wang · Dan Su · Dong Yu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
Jonathan Godwin · Michael Schaarschmidt · Alexander Gaunt · Alvaro Sanchez Gonzalez · Yulia Rubanova · Petar Veličković · James Kirkpatrick · Peter Battaglia
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang · Yonggang Wen · Shuai Zhang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Generative Principal Component Analysis
Zhaoqiang Liu · Jiulong Liu · Subhroshekhar Ghosh · Jun Han · Jonathan Scarlett
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Zero Pixel Directional Boundary by Vector Transform
Edoardo Mello Rella · Ajad Chhatkuli · Yun Liu · Ender Konukoglu · Luc Van Gool
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models
Spyridon Mouselinos · Henryk Michalewski · Mateusz Malinowski
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
L0-Sparse Canonical Correlation Analysis
Ofir Lindenbaum · Moshe Salhov · Amir Averbuch · Yuval Kluger
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Visual Representation Learning over Latent Domains
Lucas Deecke · Timothy Hospedales · Hakan Bilen
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Self-ensemble Adversarial Training for Improved Robustness
Hongjun Wang · Yisen Wang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning
Yutong Wang · Ke Xue · Chao Qian
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Distributionally Robust Models with Parametric Likelihood Ratios
Paul Michel · Tatsunori Hashimoto · Graham Neubig
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems
Youngsoo Jang · Jongmin Lee · Kee-Eung Kim
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Resolving Training Biases via Influence-based Data Relabeling
Shuming Kong · Yanyan Shen · Linpeng Huang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Michael Arbel · Julien Mairal
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk · Andrey Voynov · Ivan Rubachev · Valentin Khrulkov · Artem Babenko
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere · Jie Zhang · François Charton · Mark Harman · Gabriel Synnaeve · Guillaume Lample
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Explainable GNN-Based Models over Knowledge Graphs
David Jaime Tena Cucala · Bernardo Grau · Egor Kostylev · Boris Motik
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Unrolling PALM for Sparse Semi-Blind Source Separation
Mohammad Fahes · Christophe Kervazo · Jerome Bobin · Florence Tupin
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
Wenhao Li · Xiangfeng Wang · Bo Jin · Junjie Sheng · Hongyuan Zha
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Transformers Can Do Bayesian Inference
Samuel Müller · Noah Hollmann · Sebastian Pineda Arango · Josif Grabocka · Frank Hutter
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space
Steeven Janny · Fabien Baradel · Natalia Neverova · Madiha Nadri · Greg Mori · Christian Wolf
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Zongze Wu · Yotam Nitzan · Eli Shechtman · Dani Lischinski
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Fooling Explanations in Text Classifiers
Adam Ivankay · Ivan Girardi · Chiara Marchiori · Pascal Frossard
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
Alex Chan · Alicia Curth · Mihaela van der Schaar
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
Rafał Szlendak · Alexander Tyurin · Peter Richtarik
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
On the Connection between Local Attention and Dynamic Depth-wise Convolution
Qi Han · Zejia Fan · Qi Dai · Lei Sun · Ming-Ming Cheng · Jiaying Liu · Jingdong Wang
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Handling Distribution Shifts on Graphs: An Invariance Perspective
Qitan Wu · Hengrui Zhang · Junchi Yan · David Wipf
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
Neural Variational Dropout Processes
Insu Jeon · Youngjin Park · Gunhee Kim
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Revisiting Over-smoothing in BERT from the Perspective of Graph
Han Shi · JIAHUI GAO · Hang Xu · Xiaodan Liang · Zhenguo Li · Lingpeng Kong · Stephen Lee · James Kwok
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
Jongmin Lee · Cosmin Paduraru · Daniel Mankowitz · Nicolas Heess · Doina Precup · Kee-Eung Kim · Arthur Guez
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen · Stephan Günnemann
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Phase Collapse in Neural Networks
Florentin Guth · John Zarka · Stéphane Mallat
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees
Hang Zhao · Yang Yu · Kai Xu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Lukas Schott · Julius von Kuegelgen · Frederik Träuble · Peter Gehler · Chris Russell · Matthias Bethge · Bernhard Schoelkopf · Francesco Locatello · Wieland Brendel
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
miniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Kunhao Zheng · Jesse Han · Stanislas Polu
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Self-Supervised Inference in State-Space Models
David Ruhe · Patrick Forré
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Imitation Learning by Reinforcement Learning
Kamil Ciosek
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator
Minghao Han · Jacob Euler-Rolle · Robert Katzschmann
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
Zhaoyang Lyu · Zhifeng Kong · Xudong XU · Liang Pan · Dahua Lin
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Enabling Arbitrary Translation Objectives with Adaptive Tree Search
Wang Ling · Wojciech Stokowiec · Domenic Donato · Chris Dyer · Lei Yu · Laurent Sartran · Austin Matthews
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
Thanh Nguyen-Tang · Sunil Gupta · A. Tuan Nguyen · Svetha Venkatesh
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
On the approximation properties of recurrent encoder-decoder architectures
Zhong Li · Haotian Jiang · Qianxiao Li
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
Yunji Kim · Jung-Woo Ha
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
Steven James · Benjamin Rosman · George D Konidaris
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Strides in Convolutional Neural Networks
Rachid Riad · Olivier Teboul · David Grangier · Neil Zeghidour
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
VAE Approximation Error: ELBO and Exponential Families
Alexander (Oleksandr) Shekhovtsov · Dmitrij Schlesinger · Boris Flach
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Borja G. Leon · Murray Shanahan · Francesco Belardinelli
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
Ryuichi Kanoh · Mahito Sugiyama
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT)
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Kai Cui · Heinz Koeppl
Poster
Tue Apr 26 02:30 AM -- 04:30 AM (PDT) @ Virtual
A generalization of the randomized singular value decomposition
Nicolas Boulle · Alex Townsend