Title
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers Eros Fani Raffaello Camoriano Barbara Caputo Marco Ciccone 90 4 0 03 Jun 2024
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation Zheng Zhou Hong Zhao Guangliang Cheng Xiangtai Li Shuchang Lyu Wenquan Feng Qi Zhao DD 112 0 0 03 Jun 2024
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting Jincheng Zhong Xingzhuo Guo Jiaxiang Dong Mingsheng Long DiffM 111 2 0 02 Jun 2024
Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation Wooseok Shin Hyun Joon Park Jin Sob Kim Sung Won Han VLM 100 8 0 31 May 2024
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning Kaicheng Fu Changde Du Xiaoyu Chen Jie Peng Huiguang He CLL 101 0 0 31 May 2024
Scalable Bayesian Learning with posteriors Samuel Duffield Kaelan Donatella Johnathan Chiu Phoebe Klett Daniel Simpson BDL UQCV 211 2 0 31 May 2024
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections Massimo Bini Karsten Roth Zeynep Akata Anna Khoreva 88 5 0 30 May 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning Naoki Hiratani CLL 103 4 0 30 May 2024
TAIA: Large Language Models are Out-of-Distribution Data Learners Shuyang Jiang Yusheng Liao Ya Zhang Yu Wang Yanfeng Wang 93 5 0 30 May 2024
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases Zian Su Xiangzhe Xu Ziyang Huang Kaiyuan Zhang Xiangyu Zhang 86 8 0 30 May 2024
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification Qizao Wang Xuelin Qian Bin Li Xiangyang Xue 107 1 0 30 May 2024
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation Islam I. Osman Mohamed S. Shehata 139 0 0 29 May 2024
Statistical Context Detection for Deep Lifelong Reinforcement Learning Jeffery Dick Saptarshi Nath Christos Peridis Eseoghene Ben-Iwhiwhu Soheil Kolouri Andrea Soltoggio OffRL 96 2 0 29 May 2024
Auto-selected Knowledge Adapters for Lifelong Person Re-identification Xuelin Qian Ruiqi Wu Gong Cheng Junwei Han CLL 108 2 0 29 May 2024
Learning to Continually Learn with the Bayesian Principle Soochan Lee Hyeonseong Jeon Jaehyeon Son Gunhee Kim BDL CLL 67 4 0 29 May 2024
Provable Contrastive Continual Learning Yichen Wen Zhiquan Tan Kaipeng Zheng Chuanlong Xie Weiran Huang CLL 77 7 0 29 May 2024
Lifelong Learning and Selective Forgetting via Contrastive Strategy Li Shan Wenzhang Zhou Wei Li Xingyu Ding CLL 67 3 0 28 May 2024
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Tiansheng Huang Sihao Hu Fatih Ilhan Selim Furkan Tekin Ling Liu 173 32 0 28 May 2024
Why are Visually-Grounded Language Models Bad at Image Classification? Yuhui Zhang Alyssa Unell Xiaohan Wang Dhruba Ghosh Yuchang Su Ludwig Schmidt Serena Yeung-Levy VLM 104 37 0 28 May 2024
Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment Keming Lu Bowen Yu Fei Huang Yang Fan Runji Lin Chang Zhou MoMe 87 21 0 28 May 2024
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task Huiping Zhuang Di Fang Kai Tong Yuchen Liu Huiping Zhuang Xu Zhou Cen Chen CLL 95 3 0 28 May 2024
MODL: Multilearner Online Deep Learning Antonios Valkanas Boris N. Oreshkin Mark Coates 125 2 0 28 May 2024
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting Suraj Anand Michael A. Lepori Jack Merullo Ellie Pavlick CLL 145 8 0 28 May 2024
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates Albin Soutif--Cormerais Simone Magistri Joost van de Weijer Andew D. Bagdanov 137 2 0 28 May 2024
Understanding Forgetting in Continual Learning with Linear Regression Meng Ding Kaiyi Ji Di Wang Jinhui Xu CLL 159 10 0 27 May 2024
Improving Data-aware and Parameter-aware Robustness for Continual Learning Hanxi Xiao Fan Lyu CLL 78 0 0 27 May 2024
Theories of synaptic memory consolidation and intelligent plasticity for continual learning Friedemann Zenke Axel Laborieux 70 3 0 27 May 2024
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation Along He Tao Li Yanlin Wu Ke Zou Huazhu Fu 45 3 0 26 May 2024
A Classifier-Free Incremental Learning Framework for Scalable Medical Image Segmentation Xiaoyang Chen Hao Zheng Yifang Xie Yuncong Ma Tengfei Li CLL 80 0 0 25 May 2024
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective Leyuan Wang Liuyu Xiang Yunlong Wang Huijia Wu Zhaofeng He CLL 111 0 0 24 May 2024
CLIP model is an Efficient Online Lifelong Learner Leyuan Wang Liuyu Xiang Yujie Wei Yunlong Wang Zhaofeng He VLM CLL 107 3 0 24 May 2024
Distributed Continual Learning Long Le Marcel Hussing Eric Eaton CLL FedML 85 2 0 23 May 2024
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-time Adaptation for Vision-Language Models Mario Döbler Robert A. Marsden Tobias Raichle Bin Yang VLM 74 7 0 23 May 2024
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang Zexi Li Ningyu Zhang Ziwen Xu Yunzhi Yao Yong Jiang Pengjun Xie Fei Huang Huajun Chen KELM CLL 132 34 0 23 May 2024
U-TELL: Unsupervised Task Expert Lifelong Learning Indu Solomon Aye Phyu Phyu Aung Uttam Kumar Senthilnath Jayavelu CLL 76 1 0 23 May 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 94 1 0 23 May 2024
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points Zihe Liu Jie Lu Guangquan Zhang Junyu Xuan 83 0 0 23 May 2024
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks Santosh T.Y.S.S Tuan-Quang Vuong Matthias Grabmair AILaw CLL 115 5 0 23 May 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory Naibo Wang Yuchen Deng Wenjie Feng Yuxiang Cai See-Kiong Ng DiffM FedML 76 1 0 22 May 2024
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning Prashant Shivaram Bhat Bharath Renjith Elahe Arani Bahram Zonooz CLL 83 2 0 22 May 2024
Task agnostic continual learning with Pairwise layer architecture Santtu Keskinen CLL 84 1 0 22 May 2024
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction Tingchen Fu Deng Cai Lemao Liu Shuming Shi Rui Yan MoMe 168 13 0 22 May 2024
Rehearsal-free Federated Domain-incremental Learning Rui Sun Haoran Duan Jiahua Dong Varun Ojha Tejal Shah R. Ranjan CLL 143 1 0 22 May 2024
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation Xinyu Zhang Abdeslam Boularias 122 10 0 21 May 2024
FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information Dongseong Hwang ODL 117 9 0 21 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning Sunyuan Qiang Xuxin Lin Yanyan Liang Jun Wan Du Zhang CLL 100 1 0 20 May 2024
Visual Episodic Memory-based Exploration J. Vice Natalie Ruiz-Sanchez P. Douglas G. Sukthankar 86 0 0 18 May 2024
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning Haoyue Song Jiacheng Wang Liansheng Wang 87 0 0 17 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning Nisha Lakshmana Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 154 9 0 17 May 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System Chen Chen Ruizhe Li Yuchen Hu Yuanyuan Chen Chengwei Qin Qiang Zhang CLL 107 3 0 16 May 2024