Title
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 157 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
Crowdsourcing with Enhanced Data Quality Assurance: An Efficient Approach to Mitigate Resource Scarcity Challenges in Training Large Language Models for Healthcare Prosanta Barai Gondy Leroy Prakash Bisht Joshua M Rothman Sumi Lee Jennifer G. Andrews Sydney A Rice Arif Ahmed 71 3 0 16 May 2024
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation Jihwan Kwak Sungmin Cha Taesup Moon CLL 86 0 0 16 May 2024
Densely Distilling Cumulative Knowledge for Continual Learning Zenglin Shi Pei Liu Tong Su Yunpeng Wu Kuien Liu Yu Song Meng Wang CLL 121 0 0 16 May 2024
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning Xingyu Li Bo Tang VLM CLL 85 0 0 15 May 2024
Overcoming Domain Drift in Online Continual Learning Fan Lyu Daofeng Liu Linglan Zhao Zhang Zhang Fanhua Shang Fuyuan Hu Wei Feng Liang Wang CLL 89 1 0 15 May 2024
A safety realignment framework via subspace-oriented model fusion for large language models Xin Yi Shunfan Zheng Linlin Wang Xiaoling Wang Liang He 117 27 0 15 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 77 0 0 15 May 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning Sunyuan Qiang Yanyan Liang Jun Wan Du Zhang CLL 105 3 0 14 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 90 19 0 13 May 2024
Liquid Ensemble Selection for Continual Learning Carter Blair Ben Armstrong Kate Larson FedML OOD CLL 63 0 0 12 May 2024
DuetRAG: Collaborative Retrieval-Augmented Generation Dian Jiao Li Cai Jingsheng Huang Wenqiao Zhang Siliang Tang Yueting Zhuang 81 1 0 12 May 2024
Cross-Domain Continual Learning via CLAMP Weiwei Weng Mahardhika Pratama Jie Zhang Chen Chen E. Yapp Savitha Ramasamy 81 1 0 12 May 2024
Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models Edward Y. Chang 60 3 0 11 May 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks Ashutosh Kumar Sonali Agarwal D. J. Hemanth 82 0 0 11 May 2024
Non-stationary Domain Generalization: Theory and Algorithm Thai-Hoang Pham Xueru Zhang Ping Zhang OOD 101 1 0 10 May 2024
Continual Novel Class Discovery via Feature Enhancement and Adaptation Yifan Yu Shaokun Wang Yuhang He Junzhe Chen Yihong Gong CLL 77 1 0 10 May 2024
Fast Evaluation of DNN for Past Dataset in Incremental Learning Naoto Sato 48 0 0 10 May 2024
Model Inversion Robustness: Can Transfer Learning Help? Sy-Tuyen Ho Koh Jun Hao Keshigeyan Chandrasegaran Ngoc-Bao Nguyen Ngai-Man Cheung 89 11 0 09 May 2024
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis Xuanwen Ding Jie Zhou Liang Dou Qin Chen Yuanbin Wu Chengcai Chen Liang He KELM CLL 74 6 0 09 May 2024
Few-Shot Class Incremental Learning via Robust Transformer Approach Naeem Paeedeh Mahardhika Pratama S. Wibirama Wolfgang Mayer Zehong Cao Ryszard Kowalczyk CLL 98 2 0 08 May 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation Jiajun Liu Wenjun Ke Peng Wang Ziyu Shang Jinhua Gao Guozheng Li Ke Ji Yanhe Liu CLL 63 21 0 07 May 2024
Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs Antonio Bikić Sayan Mukherjee 82 0 0 07 May 2024
On the Foundations of Earth and Climate Foundation Models Xiao Xiang Zhu Zhitong Xiong Yi Wang Adam J. Stewart Konrad Heidler Yuanyuan Wang Zhenghang Yuan Thomas Dujardin Qingsong Xu Yilei Shi AI4Cl AI4CE 135 25 0 07 May 2024
Continual Learning in the Presence of Repetition Hamed Hemati Lorenzo Pellegrini Xiaotian Duan Zixuan Zhao Fangfang Xia ... Shiji Zhao Shao-Yuan Li Sheng-Jun Huang Vincenzo Lomonaco Gido M. van de Ven CLL 100 4 0 07 May 2024
Direct learning of home vector direction for insect-inspired robot navigation Michiel Firlefyn J. Hagenaars Guido de Croon SSL 61 1 0 06 May 2024
Automated Metaheuristic Algorithm Design with Autoregressive Learning Qi Zhao Tengfei Liu Bai Yan Qiqi Duan Jian Yang Yuhui Shi TPM 89 7 0 06 May 2024
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition Nishant Suresh Aswani Amira Guesmi Muhammad Abdullah Hanif Mohamed Bennai CLL 71 1 0 06 May 2024
Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval Jiacheng Cheng Hijung Valentina Shin Nuno Vasconcelos Bryan C. Russell Fabian Caba Heilbron VLM 70 1 0 06 May 2024
Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning F. Sarfraz Bahram Zonooz Elahe Arani CLL 81 3 0 04 May 2024
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer Xin Gao Xin Yang Hao Yu Yan Kang Tianrui Li CLL 107 2 0 04 May 2024
CALRec: Contrastive Alignment of Generative LLMs For Sequential Recommendation Yaoyiran Li Xiang Zhai M. Alzantot Keyi Yu Ivan Vulić Anna Korhonen Mohamed Hammad 90 16 0 03 May 2024
Towards An Online Incremental Approach to Predict Students Performance Chahrazed Labba Anne Boyer CLL 69 0 0 03 May 2024
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection Canhui Tang Sanpin Zhou Yizhe Li Yonghao Dong Le Wang 76 0 0 03 May 2024
COPAL: Continual Pruning in Large Language Generative Models Srikanth Malla Joon Hee Choi Chiho Choi VLM CLL 95 2 0 02 May 2024
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable Haozhe Liu Wentian Zhang Bing Li Bernard Ghanem Jürgen Schmidhuber DiffM WIGM AAML 105 1 0 01 May 2024
SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained Large Language Models Samir Arora Liangliang Wang 48 0 0 30 Apr 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan David Lynch Alexandros Agapitos Alberto Castagna Giorgio Cruciata Hao Wang Aleksandar Milenovic 97 0 0 30 Apr 2024
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks Lorenzo Pes Rick Luiken Federico Corradi Charlotte Frenkel 93 5 0 30 Apr 2024
KAN: Kolmogorov-Arnold Networks Ziming Liu Yixuan Wang Sachin Vaidya Fabian Ruehle James Halverson Marin Soljacic Thomas Y. Hou Max Tegmark 334 609 0 30 Apr 2024
Integrating Present and Past in Unsupervised Continual Learning Yipeng Zhang Laurent Charlin R. Zemel Mengye Ren CLL 79 4 0 29 Apr 2024
HFT: Half Fine-Tuning for Large Language Models Tingfeng Hui Ying Tai Shuohuan Wang Weiran Xu Yu Sun Hua Wu CLL 105 7 0 29 Apr 2024