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The 2021 schedule is still incomplete
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Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Subgoal Representations with Slow Dynamics
In Poster Session 04
Siyuan Li · Lulu Zheng · Jianhao Wang · Chongjie Zhang
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
BOIL: Towards Representation Change for Few-shot Learning
In Poster Session 04
Jaehoon Oh · Hyungjun Yoo · ChangHwan Kim · Se-Young Yun
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
In Poster Session 04
Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Hyperbolic Neural Networks++
In Poster Session 04
Ryohei Shimizu · YUSUKE Mukuta · Tatsuya Harada
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
On Self-Supervised Image Representations for GAN Evaluation
In Poster Session 04
Stanislav Morozov · Andrey Voynov · Artem Babenko
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Accurate Learning of Graph Representations with Graph Multiset Pooling
In Poster Session 04
Jinheon Baek · Minki Kang · Sung Ju Hwang
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
PDE-Driven Spatiotemporal Disentanglement
In Poster Session 04
Jérémie DONA · Jean-Yves Franceschi · sylvain lamprier · patrick gallinari
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
In Poster Session 04
Yuxuan Zhang · Wenzheng Chen · Huan Ling · Jun Gao · Yinan Zhang · Antonio Torralba · Sanja Fidler
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Multiscale Score Matching for Out-of-Distribution Detection
In Poster Session 04
Ahsan Mahmood · Junier Oliva · Martin A Styner
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Sample-Efficient Automated Deep Reinforcement Learning
In Poster Session 04
Jörg Franke · Gregor Koehler · André Biedenkapp · Frank Hutter
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Practical Real Time Recurrent Learning with a Sparse Approximation
In Poster Session 04
Jacob Menick · Erich Elsen · Utku Evci · Simon Osindero · Karen Simonyan · Alex Graves
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Neurally Augmented ALISTA
In Poster Session 04
Freya Behrens · Jonathan Sauder · Peter Jung
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
SkipW: Resource Adaptable RNN with Strict Upper Computational Limit
In Poster Session 04
Tsiry MAYET · Anne Lambert · Pascal Le Guyadec · Francoise Le Bolzer · François Schnitzler
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Complex Query Answering with Neural Link Predictors
In Poster Session 04
Erik Arakelyan · Daniel Daza · Pasquale Minervini · Michael Cochez
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition
In Poster Session 04
Seon-Ho Lee · Chang-Su Kim
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
In Poster Session 04
Đorđe Miladinović · Aleksandar Stanić · Stefan Bauer · Jürgen Schmidhuber · Joachim M Buhmann
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Monte-Carlo Planning and Learning with Language Action Value Estimates
In Poster Session 04
Youngsoo Jang · Seokin Seo · Jongmin Lee · Kee-Eung Kim
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Capturing Label Characteristics in VAEs
In Poster Session 04
Tom Joy · Sebastian Schmon · Philip Torr · Siddharth N · Tom Rainforth
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Group Equivariant Stand-Alone Self-Attention For Vision
In Poster Session 04
David W. Romero · Jean-Baptiste Cordonnier
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Group Equivariant Conditional Neural Processes
In Poster Session 04
Makoto Kawano · Wataru Kumagai · Akiyoshi Sannai · Yusuke Iwasawa · Yutaka Matsuo
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing
In Poster Session 04
Asish Ghoshal · Xilun Chen · Sonal Gupta · Luke Zettlemoyer · Yashar Mehdad
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Prototypical Contrastive Learning of Unsupervised Representations
In Poster Session 04
Junnan Li · Pan Zhou · Caiming Xiong · Steven Hoi
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Generalization in data-driven models of primary visual cortex
In Poster Session 04
Konstantin-Klemens Lurz · Mohammad Bashiri · Konstantin Willeke · Akshay Jagadish · Eric Wang · Edgar Walker · Santiago Cadena · Taliah Muhammad · Erick M Cobos · Andreas Tolias · Alexander S Ecker · Fabian Sinz
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Activation-level uncertainty in deep neural networks
In Poster Session 04
Pablo Morales-Alvarez · Daniel Hernández-Lobato · Rafael Molina · José Miguel Hernández Lobato
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Scaling the Convex Barrier with Active Sets
In Poster Session 04
Alessandro De Palma · Harkirat Singh Behl · Rudy R Bunel · Philip Torr · M. Pawan Kumar
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
What they do when in doubt: a study of inductive biases in seq2seq learners
In Poster Session 04
Kharitonov Eugene · Rahma Chaabouni
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Disambiguating Symbolic Expressions in Informal Documents
In Poster Session 04
Dennis Müller · Cezary Kaliszyk
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Lossless Compression of Structured Convolutional Models via Lifting
In Poster Session 04
Gustav Sourek · Filip Zelezny · Ondrej Kuzelka
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
In Poster Session 04
Ziyao Li · Shuwen Yang · Guojie Song · Lingsheng Cai
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
In Poster Session 04
Balázs Kégl · Gabriel Hurtado · Albert Thomas
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs
In Poster Session 04
Xingang Pan · Bo DAI · Ziwei Liu · Chen Change Loy · Ping Luo
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Improving Transformation Invariance in Contrastive Representation Learning
In Poster Session 04
Adam Foster · Rattana Pukdee · Tom Rainforth
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention
In Poster Session 04
Grégoire Mialon · Dexiong Chen · Alexandre d'Aspremont · Julien Mairal
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Accurate Entropy Model with Global Reference for Image Compression
In Poster Session 04
Yichen Qian · Zhiyu Tan · Xiuyu Sun · Ming Lin · Dongyang Li · Zhenhong Sun · Li Hao · Rong Jin
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples
In Poster Session 04
Ziang Yan · Yiwen Guo · Jian Liang · Changshui Zhang
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Intraclass clustering: an implicit learning ability that regularizes DNNs
In Poster Session 04
Simon Carbonnelle · Christophe De Vleeschouwer
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
A Distributional Approach to Controlled Text Generation
In Poster Session 04
Muhammad Khalifa · Hady Elsahar · Marc Dymetman
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
A Block Minifloat Representation for Training Deep Neural Networks
In Poster Session 04
Sean Fox · Seyedramin Rasoulinezhad · Julian Faraone · david boland · Philip Leong
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
not-MIWAE: Deep Generative Modelling with Missing not at Random Data
In Poster Session 04
Niels Ipsen · Pierre-Alexandre Mattei · Jes Frellsen
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Contemplating Real-World Object Classification
In Poster Session 04
Ali Borji
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
In Poster Session 04
Max B Paulus · Chris Maddison · Andreas Krause
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Calibration tests beyond classification
In Poster Session 04
David Widmann · Fredrik Lindsten · Dave Zachariah
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Auxiliary Learning by Implicit Differentiation
In Poster Session 04
Aviv Navon · Idan Achituve · Haggai Maron · Gal Chechik · Ethan Fetaya
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent
In Poster Session 04
El Mahdi El Mhamdi · Rachid Guerraoui · Sébastien Rouault
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Large-width functional asymptotics for deep Gaussian neural networks
In Poster Session 04
Daniele Bracale · Stefano Favaro · Sandra Fortini · Stefano Peluchetti
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Generalized Multimodal ELBO
In Poster Session 04
Thomas Sutter · Imant Daunhawer · Julia E Vogt
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
In Poster Session 04
Jan Hendrik Metzen · Maksym Yatsura
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
GraphCodeBERT: Pre-training Code Representations with Data Flow
In Poster Session 04
Daya Guo · Shuo Ren · Shuai Lu · Zhangyin Feng · Duyu Tang · Shujie LIU · Long Zhou · Nan Duan · Alexey Svyatkovskiy · Shengyu Fu · Michele Tufano · Shao Kun Deng · Colin Clement · Dawn Drain · Neel Sundaresan · Jian Yin · Daxin Jiang · Ming Zhou
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning the Pareto Front with Hypernetworks
In Poster Session 04
Aviv Navon · Aviv Shamsian · Ethan Fetaya · Gal Chechik
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
A Universal Representation Transformer Layer for Few-Shot Image Classification
In Poster Session 04
Lu Liu · William Hamilton · Guodong Long · Jing Jiang · Hugo Larochelle
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Computational Separation Between Convolutional and Fully-Connected Networks
In Poster Session 04
Eran Malach · Shai Shalev-Shwartz
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Coping with Label Shift via Distributionally Robust Optimisation
In Poster Session 04
Jingzhao Zhang · Aditya Krishna Menon · Andreas Veit · Srinadh Bhojanapalli · Sanjiv Kumar · Suvrit Sra
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
In Poster Session 04
Ke Sun · Zhanxing Zhu · Zhouchen Lin
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Prediction and generalisation over directed actions by grid cells
In Poster Session 04
Changmin Yu · Timothy Behrens · Neil Burgess
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
In Poster Session 04
Nils Wandel · Michael Weinmann · Reinhard Klein
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Refining Deep Generative Models via Discriminator Gradient Flow
In Poster Session 04
Abdul Fatir Ansari · Ming Liang Ang · Harold Soh
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
In Poster Session 04
Deunsol Yoon · Sunghoon Hong · Byung-Jun Lee · Kee-Eung Kim
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Class Normalization for (Continual)? Generalized Zero-Shot Learning
In Poster Session 04
Ivan Skorokhodov · Mohamed Elhoseiny
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
In Poster Session 04
Tsung Wei Tsai · Chongxuan Li · Jun Zhu
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Probing BERT in Hyperbolic Spaces
In Poster Session 04
Boli Chen · Yao Fu · Guangwei Xu · Pengjun Xie · Chuanqi Tan · Mosha Chen · Liping Jing
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Generalized Energy Based Models
In Poster Session 04
Michael Arbel · Liang Zhou · Arthur Gretton
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
In Poster Session 04
Tehrim Yoon · Sumin Shin · Sung Ju Hwang · Eunho Yang
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
Risk-Averse Offline Reinforcement Learning
In Poster Session 04
Núria Armengol Urpí · Sebastian Curi · Andreas Krause
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT)
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
In Poster Session 04
Rianne van den Berg · Alexey Gritsenko · Mostafa Dehghani · Casper Sønderby · Tim Salimans
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
In Poster Session 04
Judith Borowski · Roland Zimmermann · Judith Schepers · Robert Geirhos · Thomas S Wallis · Matthias Bethge · Wieland Brendel
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Bayesian Context Aggregation for Neural Processes
In Poster Session 04
Michael Volpp · Fabian Flürenbrock · Lukas Grossberger · Christian Daniel · Gerhard Neumann
[ Slides] 
[ Paper ]
Poster
Tue May 04 01:00 AM -- 03:00 AM (PDT) @ Virtual
Effective Abstract Reasoning with Dual-Contrast Network
In Poster Session 04
Tao Zhuo · Mohan Kankanhalli
[ Slides] 
[ Paper ]