61 Results

Poster
Tue 7:00 A Free-Energy Principle for Representation Learning
Yansong Gao, Pratik Chaudhari
Poster
Tue 7:00 LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong Nguyen, Tal Hassner, Matthias W Seeger, Cedric Archambeau
Poster
Tue 7:00 Mutual Transfer Learning for Massive Data
Ching-Wei Cheng, Xingye Qiao, Guang Cheng
Poster
Tue 7:00 Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
Poster
Tue 7:00 LTF: A Label Transformation Framework for Correcting Label Shift
Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao
Poster
Tue 7:00 On the Global Optimality of Model-Agnostic Meta-Learning
Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
Poster
Tue 7:00 Laplacian Regularized Few-Shot Learning
Imtiaz Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed
Poster
Tue 8:00 Meta-learning for Mixed Linear Regression
Weihao Kong, Raghav Somani, Zhao Song, Sham Kakade, Sewoong Oh
Poster
Tue 8:00 RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou
Poster
Tue 8:00 Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Yun Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
Poster
Tue 9:00 Retrieval Augmented Language Model Pre-Training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Mingwei Chang
Poster
Tue 10:00 XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson
Poster
Tue 10:00 Learning To Stop While Learning To Predict
Xinshi Chen, Hanjun Dai, Yu Li, Xin Gao, Le Song
Poster
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
Poster
Tue 11:00 Domain Adaptive Imitation Learning
Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon
Poster
Tue 12:00 Learning Portable Representations for High-Level Planning
Steve James, Benjamin Rosman, George Konidaris
Poster
Tue 12:00 Meta-Learning with Shared Amortized Variational Inference
Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari
Poster
Tue 13:00 Sequential Transfer in Reinforcement Learning with a Generative Model
Andrea Tirinzoni, Riccardo Poiani, Marcello Restelli
Poster
Tue 13:00 Generalization to New Actions in Reinforcement Learning
Ayush Jain, Andrew Szot, Joseph Lim
Poster
Tue 13:00 Meta-learning with Stochastic Linear Bandits
Leonardo Cella, Alessandro Lazaric, Massimiliano Pontil
Poster
Tue 14:00 Finding trainable sparse networks through Neural Tangent Transfer
Tianlin Liu, Friedemann Zenke
Poster
Tue 14:00 Continuously Indexed Domain Adaptation
Hao Wang, Hao He, Dina Katabi
Poster
Tue 15:00 Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka
Poster
Wed 5:00 On Learning Language-Invariant Representations for Universal Machine Translation
Han Zhao, Junjie Hu, Andrej Risteski
Poster
Wed 5:00 Progressive Graph Learning for Open-Set Domain Adaptation
Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh
Poster
Wed 5:00 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
Jie Xu, Yunsheng Tian, Pingchuan Ma, Daniela Rus, Shinjiro Sueda, Wojciech Matusik
Poster
Wed 5:00 Label-Noise Robust Domain Adaptation
Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao
Poster
Wed 5:00 Stabilizing Transformers for Reinforcement Learning
Emilio Parisotto, Francis Song, Jack Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew Botvinick, Nicolas Heess, Raia Hadsell
Poster
Wed 8:00 Strength from Weakness: Fast Learning Using Weak Supervision
Joshua Robinson, Stefanie Jegelka, Suvrit Sra
Poster
Wed 8:00 A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition
Anurag Kumar, Vamsi Krishna Ithapu
Poster
Wed 8:00 Learning and Evaluating Contextual Embedding of Source Code
Aditya Kanade, Petros Maniatis, Gogul Balakrishnan, Kensen Shi
Poster
Wed 8:00 Frustratingly Simple Few-Shot Object Detection
Xin Wang, Thomas Huang, Joseph E Gonzalez, Prof. Darrell, Fisher Yu
Poster
Wed 9:00 Margin-aware Adversarial Domain Adaptation with Optimal Transport
Sofien Dhouib, Ievgen Redko, Carole Lartizien
Poster
Wed 9:00 Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe, Chris Hesse, Jacob Hilton, John Schulman
Poster
Wed 10:00 Self-supervised Label Augmentation via Input Transformations
Hankook Lee, Sung Ju Hwang, Jinwoo Shin
Poster
Wed 12:00 CoMic: Complementary Task Learning & Mimicry for Reusable Skills
Leonard Hasenclever, Fabio Pardo, Raia Hadsell, Nicolas Heess, Josh Merel
Poster
Wed 13:00 Fast Adaptation to New Environments via Policy-Dynamics Value Functions
Roberta Raileanu, Max Goldstein, Arthur Szlam, Facebook Rob Fergus
Poster
Wed 14:00 VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing
Zoltán Á. Milacski, Barnabás Póczos, Andras Lorincz
Poster
Wed 16:00 Automated Synthetic-to-Real Generalization
Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar
Poster
Wed 16:00 Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang
Poster
Thu 6:00 Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
Silviu Pitis, Harris Chan, Stephen Zhao, Bradly Stadie, Jimmy Ba
Poster
Thu 6:00 Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
Deb Mahapatra, Vaibhav Rajan
Poster
Thu 6:00 Adaptive Adversarial Multi-task Representation Learning
YUREN MAO, Weiwei Liu, Xuemin Lin
Poster
Thu 6:00 Robustifying Sequential Neural Processes
Jaesik Yoon, Gautam Singh, Sungjin Ahn
Poster
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
Poster
Thu 6:00 Task Understanding from Confusing Multi-task Data
Xin Su, Yizhou Jiang, Shangqi Guo, Feng Chen
Poster
Thu 6:00 T-GD: Transferable GAN-generated Images Detection Framework
Hyeonseong Jeon, Young Oh Bang, Junyaup Kim, Simon Woo
Poster
Thu 7:00 On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao, Yulai Cong, Lawrence Carin
Poster
Thu 7:00 Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
Poster
Thu 7:00 Efficient Continuous Pareto Exploration in Multi-Task Learning
Pingchuan Ma, Tao Du, Wojciech Matusik
Poster
Thu 8:00 Domain Aggregation Networks for Multi-Source Domain Adaptation
Junfeng Wen, Russell Greiner, Dale Schuurmans
Poster
Thu 9:00 Symbolic Network: Generalized Neural Policies for Relational MDPs
Sankalp Garg, Aniket Bajpai, Mausam
Poster
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
Poster
Thu 12:00 Online Continual Learning from Imbalanced Data
Aristotelis Chrysakis, Marie-Francine Moens
Poster
Thu 12:00 PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter Liu
Poster
Thu 12:00 Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier Henaff
Poster
Thu 13:00 Robust Learning with the Hilbert-Schmidt Independence Criterion
Daniel Greenfeld, Uri Shalit
Poster
Thu 13:00 Neural Topic Modeling with Continual Lifelong Learning
Pankaj Gupta, Yatin Chaudhary, Thomas Runkler, Hinrich Schuetze
Poster
Thu 13:00 Learning to Branch for Multi-Task Learning
Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht
Poster
Thu 13:00 A quantile-based approach for hyperparameter transfer learning
David Salinas, Huibin Shen, Valerio Perrone
Poster
Thu 18:00 Few-shot Domain Adaptation by Causal Mechanism Transfer
Takeshi Teshima, Issei Sato, Masashi Sugiyama