Title
Adaptive Procedural Task Generation for Hard-Exploration Problems Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 83 26 0 01 Jul 2020
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions Mohammad Rostami Aram Galstyan CLL OffRL 78 27 0 01 Jul 2020
Robustness to Transformations Across Categories: Is Robustness To Transformations Driven by Invariant Neural Representations? Hojin Jang Syed Suleman Abbas Zaidi Xavier Boix Neeraj Prasad Sharon Gilad-Gutnick S. Ben-Ami P. Sinha OOD 98 4 0 30 Jun 2020
Enabling Continual Learning with Differentiable Hebbian Plasticity Vithursan Thangarasa Thomas Miconi Graham W. Taylor CLL 89 14 0 30 Jun 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization Sang Michael Xie Tengyu Ma Percy Liang 143 15 0 29 Jun 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning Hanbin Zhao Yongjian Fu Mintong Kang Qi Tian Leilei Gan Xi Li CLL 154 104 0 28 Jun 2020
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning Xisen Jin Arka Sadhu Junyi Du Xiang Ren CLL KELM BDL 85 99 0 27 Jun 2020
Bookworm continual learning: beyond zero-shot learning and continual learning Kai Wang Luis Herranz Anjan Dutta Joost van de Weijer VLM CLL 87 6 0 26 Jun 2020
Continual Learning from the Perspective of Compression Xu He Min Lin CLL 45 3 0 26 Jun 2020
Storing Encoded Episodes as Concepts for Continual Learning Ali Ayub Alan R. Wagner CLL 77 13 0 26 Jun 2020
Supermasks in Superposition Mitchell Wortsman Vivek Ramanujan Rosanne Liu Aniruddha Kembhavi Mohammad Rastegari J. Yosinski Ali Farhadi SSL CLL 153 298 0 26 Jun 2020
OvA-INN: Continual Learning with Invertible Neural Networks Guillaume Hocquet O. Bichler D. Querlioz BDL CLL 51 12 0 24 Jun 2020
Insights from the Future for Continual Learning Arthur Douillard Eduardo Valle Charles Ollion Thomas Robert Matthieu Cord VLM CLL 79 11 0 24 Jun 2020
A General Class of Transfer Learning Regression without Implementation Cost Shunya Minami Song Liu Stephen Wu Kenji Fukumizu Ryo Yoshida BDL 42 7 0 23 Jun 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulic OffRL 81 27 0 23 Jun 2020
Ecological Reinforcement Learning John D. Co-Reyes Suvansh Sanjeev Glen Berseth Abhishek Gupta Sergey Levine OffRL 107 23 0 22 Jun 2020
Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions Stephen Roller Y-Lan Boureau Jason Weston Antoine Bordes Emily Dinan ... Kurt Shuster Eric Michael Smith Arthur Szlam Jack Urbanek Mary Williamson LLMAG AI4CE 132 52 0 22 Jun 2020
What shapes feature representations? Exploring datasets, architectures, and training Katherine L. Hermann Andrew Kyle Lampinen OOD 123 157 0 22 Jun 2020
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain Xu Ji Joao Henriques Tinne Tuytelaars Andrea Vedaldi KELM 98 10 0 22 Jun 2020
Continual Learning in Recurrent Neural Networks Benjamin Ehret Christian Henning Maria R. Cervera Alexander Meulemans J. Oswald Benjamin Grewe CLL 101 9 0 22 Jun 2020
A sparse code increases the speed and efficiency of neuro-dynamic programming for optimal control tasks with correlated inputs P. Loxley 14 0 0 22 Jun 2020
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent Mehdi Abbana Bennani Thang Doan Masashi Sugiyama CLL 147 65 0 21 Jun 2020
Estimating Model Uncertainty of Neural Networks in Sparse Information Form Jongseo Lee Matthias Humt Jianxiang Feng Rudolph Triebel BDL UQCV 105 48 0 20 Jun 2020
Class Normalization for (Continual)? Generalized Zero-Shot Learning Ivan Skorokhodov Mohamed Elhoseiny VLM 73 5 0 19 Jun 2020
Semi-Discriminative Representation Loss for Online Continual Learning Yu Chen Tom Diethe Peter A. Flach CLL 34 0 0 19 Jun 2020
Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint Dong Yin Mehrdad Farajtabar Ang Li Nir Levine Alex Mott CLL 106 21 0 19 Jun 2020
FedFMC: Sequential Efficient Federated Learning on Non-iid Data Kavya Kopparapu Eric Lin FedML 69 35 0 19 Jun 2020
Neural Topic Modeling with Continual Lifelong Learning Pankaj Gupta Yatin Chaudhary Thomas Runkler Hinrich Schütze BDL CLL 102 49 0 19 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 104 65 0 18 Jun 2020
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification Anton M. Alekseev E. Tutubalina Valentin Malykh Sergey I. Nikolenko 15 2 0 17 Jun 2020
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven Qingtao Zhao J. Si Jian Sun 21 13 0 16 Jun 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 101 124 0 13 Jun 2020
BI-MAML: Balanced Incremental Approach for Meta Learning Yang Zheng Jinlin Xiang Kun Su Eli Shlizerman CLL 56 10 0 12 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha Hsiang Hsu Taebaek Hwang Flavio du Pin Calmon Taesup Moon CLL 84 78 0 12 Jun 2020
Federated and continual learning for classification tasks in a society of devices F. Casado Dylan Lema R. Iglesias Carlos V. Regueiro S. Barro FedML 82 2 0 12 Jun 2020
Understanding the Role of Training Regimes in Continual Learning Seyed Iman Mirzadeh Mehrdad Farajtabar Razvan Pascanu H. Ghasemzadeh CLL 86 228 0 12 Jun 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming Mehrdad Khani Shirkoohi Pouya Hamadanian Arash Nasr-Esfahany Mohammad Alizadeh 127 47 0 11 Jun 2020
Unifying Regularisation Methods for Continual Learning Frederik Benzing CLL 87 8 0 11 Jun 2020
Visualizing and Understanding Vision System Feng Qi Guanjun Jiang 43 0 0 11 Jun 2020
A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms Chi-Ning Chou Juspreet Singh Sandhu Mien Brabeeba Wang Tiancheng Yu 73 4 0 11 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning Song Zhang Gehui Shen Jinsong Huang Zhihong Deng CLL 96 14 0 10 Jun 2020
$On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression$ On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression Denny Wu Ji Xu 91 123 0 10 Jun 2020
Variational Auto-Regressive Gaussian Processes for Continual Learning Sanyam Kapoor Theofanis Karaletsos T. Bui BDL 94 26 0 09 Jun 2020
On Data Augmentation for GAN Training Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung-Kien Nguyen Ngai-Man Cheung MedIm 70 38 0 09 Jun 2020
Optimal Continual Learning has Perfect Memory and is NP-hard Jeremias Knoblauch Hisham Husain Tom Diethe CLL 150 105 0 09 Jun 2020
Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation Georgia Chalvatzaki N. Gkanatsios Petros Maragos Jan Peters 47 7 0 09 Jun 2020
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines Marius Mosbach Maksym Andriushchenko Dietrich Klakow 206 363 0 08 Jun 2020
Continual Representation Learning for Biometric Identification Bo Zhao Shixiang Tang Dapeng Chen Hakan Bilen Rui Zhao CLL 86 36 0 08 Jun 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 153 878 0 07 Jun 2020
Efficient Architecture Search for Continual Learning Qiang Gao Zhipeng Luo Diego Klabjan CLL 106 49 0 07 Jun 2020