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Tutorial
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Mon 1:00 |
Machine Learning for Healthcare: Challenges, Methods, Frontiers Mihaela van der Schaar |
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AffinityWorkshop
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Mon 1:50 |
Invited Talk: Naila Murray on Predicting Aesthetic Appreciation of Images Naila Murray |
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AffinityWorkshop
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Mon 9:45 |
Breakout Session 3.5: Feminist Perspectives for Machine Learning & Computer Vision |
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Poster
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Tue 7:00 |
Loss Function Search for Face Recognition Xiaobo Wang, Shuo Wang, Cheng Chi, Shifeng Zhang, Tao Mei |
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Poster
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Tue 7:00 |
PENNI: Pruned Kernel Sharing for Efficient CNN Inference Shiyu Li, Edward Hanson, Hai Li, Yiran Chen |
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Poster
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Tue 7:00 |
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong Nguyen, Tal Hassner, Matthias W Seeger, Cedric Archambeau |
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Poster
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Tue 7:00 |
Distance Metric Learning with Joint Representation Diversification Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong |
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Poster
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Tue 7:00 |
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time XICHUAN ZHOU, YiCong Peng, Chunqiao Long, Fengbo Ren, Cong Shi |
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Poster
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Tue 8:00 |
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang |
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Poster
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Tue 8:00 |
Detecting Out-of-Distribution Examples with Gram Matrices Chandramouli Shama Sastry, Sageev Oore |
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Poster
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Tue 8:00 |
Angular Visual Hardness Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Anima Anandkumar |
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Poster
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Tue 8:00 |
Adversarial Neural Pruning with Latent Vulnerability Suppression Divyam Madaan, Jinwoo Shin, Sung Ju Hwang |
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Poster
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Tue 9:00 |
Feature Quantization Improves GAN Training Yang Zhao, Chunyuan Li, Iris Yu, Jianfeng Gao, Changyou Chen |
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Poster
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Tue 9:00 |
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning Qing Li, Siyuan Huang, Yining Hong, Yixin Chen, Ying Nian Wu, Song-Chun Zhu |
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Poster
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Tue 10:00 |
Deep Isometric Learning for Visual Recognition Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik |
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Poster
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Tue 10:00 |
Revisiting Spatial Invariance with Low-Rank Local Connectivity Gamaleldin Elsayed, Prajit Ramachandran, Jon Shlens, Simon Kornblith |
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Poster
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Tue 10:00 |
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Wilson |
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Poster
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Tue 10:00 |
Learning To Stop While Learning To Predict Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song |
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Poster
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Tue 11:00 |
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Standley, Amir Zamir, Dawn Chen, Leonidas Guibas, Jitendra Malik, Silvio Savarese |
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Poster
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Tue 13:00 |
Latent Space Factorisation and Manipulation via Matrix Subspace Projection Xiao Li, Chenghua Lin, Ruizhe Li, Chaozheng Wang, Frank Guerin |
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Poster
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Wed 5:00 |
Progressive Graph Learning for Open-Set Domain Adaptation Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh |
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Poster
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Wed 5:00 |
Message Passing Least Squares Framework and its Application to Rotation Synchronization Yunpeng Shi, Gilad Lerman |
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Poster
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Wed 5:00 |
Channel Equilibrium Networks for Learning Deep Representation Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo |
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Poster
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Wed 5:00 |
One Size Fits All: Can We Train One Denoiser for All Noise Levels? Abhiram Gnanasambandam, Stanley Chan |
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Poster
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Wed 5:00 |
Operation-Aware Soft Channel Pruning using Differentiable Masks Minsoo Kang, Bohyung Han |
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Poster
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Wed 8:00 |
Adversarial Filters of Dataset Biases Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew Peters, Ashish Sabharwal, Yejin Choi |
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Poster
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Wed 8:00 |
Frustratingly Simple Few-Shot Object Detection Xin Wang, Thomas Huang, Joseph Gonzalez, Prof. Darrell, Fisher Yu |
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Poster
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Wed 9:00 |
On the consistency of top-k surrogate losses Forest Yang, Sanmi Koyejo |
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Poster
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Wed 11:00 |
PolyGen: An Autoregressive Generative Model of 3D Meshes Charlie Nash, Yaroslav Ganin, S. M. Ali Eslami, Peter Battaglia |
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Poster
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Wed 11:00 |
PackIt: A Virtual Environment for Geometric Planning Ankit Goyal, Jia Deng |
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Poster
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Wed 11:00 |
A Geometric Approach to Archetypal Analysis via Sparse Projections Vinayak Abrol, Pulkit Sharma |
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Poster
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Wed 12:00 |
T-Basis: a Compact Representation for Neural Networks Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool |
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Poster
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Wed 12:00 |
Adversarial Nonnegative Matrix Factorization lei luo, yanfu Zhang, Heng Huang |
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Poster
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Wed 12:00 |
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning" Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, Kazuhito Koishida |
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Poster
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Wed 12:00 |
Equivariant Neural Rendering Emilien Dupont, Miguel Angel Bautista Martin, Alex Colburn, Aditya Sankar, Josh Susskind, Qi Shan |
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Poster
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Wed 13:00 |
Attentive Group Equivariant Convolutional Networks David Romero, Erik Bekkers, Jakub Tomczak, Mark Hoogendoorn |
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Poster
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Wed 13:00 |
On the Generalization Benefit of Noise in Stochastic Gradient Descent Samuel Smith, Erich Elsen, Soham De |
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Poster
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Wed 13:00 |
Implicit Geometric Regularization for Learning Shapes Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman |
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Poster
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Wed 13:00 |
Adding seemingly uninformative labels helps in low data regimes Christos Matsoukas, Albert Bou Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, Kevin Smith |
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Poster
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Wed 14:00 |
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs Aditya Rajagopal, Diederik Vink, Stylianos Venieris, Christos-Savvas Bouganis |
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Poster
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Wed 14:00 |
Lifted Disjoint Paths with Application in Multiple Object Tracking Andrea Hornakova, Roberto Henschel, Bodo Rosenhahn, Paul Swoboda |
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Poster
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Wed 14:00 |
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce, Matthias Hein |
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Poster
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Wed 15:00 |
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon, Do-Yeon Kim, Jun Seo, Jaekyun Moon |
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Poster
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Wed 16:00 |
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung, SeongUk Park, Kim Jangho, NOJUN KWAK |
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Poster
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Wed 16:00 |
On Relativistic f-Divergences Alexia Jolicoeur-Martineau |
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Poster
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Thu 6:00 |
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks Jiabao Lei, Kui Jia |
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Poster
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Thu 6:00 |
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng |
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Poster
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Thu 6:00 |
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks Dimitris Tsipras, Shibani Santurkar, Logan Engstrom, Andrew Ilyas, Aleksander Madry |
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Poster
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Thu 6:00 |
Rigging the Lottery: Making All Tickets Winners Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen |
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Poster
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Thu 6:00 |
On Breaking Deep Generative Model-based Defenses and Beyond Yanzhi Chen, Renjie Xie, Zhanxing Zhu |
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Poster
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Thu 6:00 |
Meta Variance Transfer: Learning to Augment from the Others Seong-Jin Park, Seungju Han, Ji-won Baek, Insoo Kim, Juhwan Song, Hae Beom Lee, Jae-Joon Han, Sung Ju Hwang |
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Poster
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Thu 6:00 |
Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj, Yoram Bresler, Bo Li |
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Poster
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Thu 6:00 |
T-GD: Transferable GAN-generated Images Detection Framework Hyeonseong Jeon, Young Oh Bang, Junyaup Kim, Simon Woo |
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Poster
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Thu 7:00 |
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images Zhizhong Han, Chao Chen, Yushen Liu, Matthias Zwicker |
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Poster
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Thu 7:00 |
On Leveraging Pretrained GANs for Generation with Limited Data Miaoyun Zhao, Yulai Cong, Lawrence Carin |
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Poster
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Thu 7:00 |
Graph Optimal Transport for Cross-Domain Alignment Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu |
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Poster
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Thu 7:00 |
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev |
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Poster
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Thu 8:00 |
Optimizing Data Usage via Differentiable Rewards Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Jaime Carbonell, Graham Neubig |
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Poster
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Thu 8:00 |
Cost-Effective Interactive Attention Learning with Neural Attention Processes Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang |
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Poster
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Thu 9:00 |
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu |
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Poster
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Thu 9:00 |
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Tim Liang, Dapeng Hu, Jiashi Feng |
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Poster
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Thu 9:00 |
Video Prediction via Example Guidance Jingwei Xu, Harry (Huazhe) Xu, Bingbing Ni, Xiaokang Yang, Prof. Darrell |
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Poster
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Thu 12:00 |
PowerNorm: Rethinking Batch Normalization in Transformers Sheng Shen, Zhewei Yao, Amir Gholaminejad, Michael Mahoney, Kurt Keutzer |
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Poster
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Thu 12:00 |
Learning to Rank Learning Curves Martin Wistuba, Tejaswini Pedapati |
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Poster
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Thu 12:00 |
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth, Timo Milbich, Samrath Sinha, Prateek Gupta, Bjorn Ommer, Joseph Paul Cohen |
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Poster
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Thu 12:00 |
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier Henaff |
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Poster
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Thu 12:00 |
Soft Threshold Weight Reparameterization for Learnable Sparsity Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham Kakade, Ali Farhadi |
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Poster
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Thu 13:00 |
Stochastic Latent Residual Video Prediction Jean-Yves Franceschi, Edouard Delasalles, Mickael Chen, Sylvain Lamprier, Patrick Gallinari |
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Poster
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Thu 13:00 |
Latent Bernoulli Autoencoder Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino |
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Poster
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Thu 14:00 |
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks Mark Kurtz, Justin Kopinsky, Rati Gelashvili, Alexander Matveev, John Carr, Michael Goin, William Leiserson, Sage Moore, Nir Shavit, Dan Alistarh |
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Poster
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Thu 15:00 |
Reliable Fidelity and Diversity Metrics for Generative Models Ferjad Naeem, Seong Joon Oh, Yunjey Choi, Youngjung Uh, Jaejun Yoo |
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Poster
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Thu 15:00 |
Learning Factorized Weight Matrix for Joint Filtering Xiangyu Xu, Yongrui Ma, Wenxiu Sun |
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Poster
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Thu 17:00 |
A Tree-Structured Decoder for Image-to-Markup Generation Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Si Wei, Lirong Dai |
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Poster
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Thu 17:00 |
More Information Supervised Probabilistic Deep Face Embedding Learning Ying Huang, Shangfeng Qiu, Wenwei Zhang, Xianghui Luo, Jinzhuo Wang |
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Workshop
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Fri 0:05 |
Self-supervision in Audio and Speech Mirco Ravanelli, Dmitriy Serdyuk, R Devon Hjelm, Bhuvana Ramabhadran, Titouan Parcollet |
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Workshop
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Fri 5:10 |
Invited Talk: Deep Direct Visual SLAM (Daniel Cremers) Daniel Cremers |
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Workshop
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Fri 6:00 |
Contributed Talk 3: Anders et al. - XAI for Analyzing and Unlearning Spurious Correlations in ImageNet Wojciech Samek |
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Workshop
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Fri 6:00 |
Workshop on eXtreme Classification: Theory and Applications Anna Choromanska, John Langford, Maryam Majzoubi, Yashoteja Prabhu |
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Workshop
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Fri 6:15 |
Object-Oriented Learning: Perception, Representation, and Reasoning Sungjin Ahn, Adam Kosiorek, Jessica Hamrick, Sjoerd van Steenkiste, Yoshua Bengio |
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Workshop
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Fri 7:30 |
Uncertainty and Robustness in Deep Learning Workshop (UDL) Sharon Yixuan Li, Balaji Lakshminarayanan, Dan Hendrycks, Tom Dietterich, Jasper Snoek |
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Workshop
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Fri 9:10 |
Bootstrapping Unsupervised Deep Music Separation from Primitive Auditory Grouping Principles Prem Seetharaman |
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Workshop
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Fri 10:30 |
Invited Talk: Neural Motion Planning for Self-Driving (Raquel Urtasun) Raquel Urtasun |
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Workshop
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Fri 11:10 |
Invited Talk: Autonomous Driving: The Way Forward (Vladlen Koltun) Vladlen Koltun |
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Workshop
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Fri 12:00 |
Invited Talk: What we learned from Argoverse Competitions (James Hays) James Hays |
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Workshop
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Fri 13:10 |
Live Invited Talk: Alexi Efros "Imagining a Post-Dataset Era" Alexei Efros |
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Workshop
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Fri 13:20 |
Invited Talk: INTERPRET: INTERACTION-dataset-based PREdicTion Challenge (Wei Zhan) Wei Zhan |
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Workshop
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Sat 4:00 |
Virtual Poster Session #1 |
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Workshop
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Sat 8:00 |
Virtual Poster Session #2 |
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Workshop
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Sat 9:10 |
Machine Learning for Media Discovery Erik Schmidt, Oriol Nieto, Fabien Gouyon, Yves Raimond, Katherine Kinnaird, Gert Lanckriet |
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Workshop
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Sat 11:00 |
2nd ICML Workshop on Human in the Loop Learning (HILL) Shanghang Zhang, Xin Wang, Fisher Yu, Jiajun Wu, Prof. Darrell |
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Workshop
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Accepted Papers |
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Workshop
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(#53 / Sess. 1) Scene Graph Reasoning for Visual Question Answering Rajat Koner |
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Workshop
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(#97 / Sess. 1) Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition Jan Svoboda |
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Workshop
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(#64 / Sess. 1) Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi |