Progress & Compress: A scalable framework for continual learning

16 May 2018

Jonathan Richard Schwarz

Jelena Luketina

Wojciech M. Czarnecki

Papers citing "Progress & Compress: A scalable framework for continual learning"

50 / 193 papers shown

Title
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models Songlin Dong Chenhao Ding Jiangyang Li Jizhou Han Qiang Wang Yuhang He Yihong Gong CLL VLM 40 0 0 12 May 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification Kumar Manas Christian Schlauch Adrian Paschke Christian Wirth Nadja Klein 40 0 0 17 Apr 2025
Task-conditioned Ensemble of Expert Models for Continuous Learning Renu Sharma Debasmita Pal Arun Ross OOD KELM 198 0 0 11 Apr 2025
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining Jeffrey Li Mohammadreza Armandpour Iman Mirzadeh Sachin Mehta Vaishaal Shankar ... Samy Bengio Oncel Tuzel Mehrdad Farajtabar Hadi Pouransari Fartash Faghri CLL KELM 61 0 0 02 Apr 2025
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 69 0 0 25 Mar 2025
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours Nikhil Churamani Saksham Checker Fethiye Irmak Dogan Hao-Tien Lewis Chiang Hatice Gunes FedML 91 1 0 24 Feb 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu Junjie Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 58 4 0 09 Feb 2025
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Xiaodi Li Dingcheng Li Rujun Gao Mahmoud Zamani Latifur Khan CLL KELM 49 0 0 09 Jan 2025
Adapter-Enhanced Semantic Prompting for Continual Learning Baocai Yin Ji Zhao Huajie Jiang Ningning Hou Yongli Hu Amin Beheshti Ming-Hsuan Yang Yuankai Qi CLL VLM 102 0 0 15 Dec 2024
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering Deepayan Das Davide Talon Massimiliano Mancini Yiming Wang Elisa Ricci 46 0 0 04 Nov 2024
Temporal-Difference Variational Continual Learning Luckeciano C. Melo Alessandro Abate Yarin Gal BDL CLL VLM 46 0 0 10 Oct 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey Dianzhi Yu Xinni Zhang Yankai Chen Aiwei Liu Yifei Zhang Philip S. Yu Irwin King VLM CLL 44 9 0 07 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha Shiqi Yang Masato Ishii Mengjie Zhao Christian Simon Muhammad Jehanzeb Mirza Dong Gong Lina Yao Shusuke Takahashi Yuki Mitsufuji DiffM 67 2 0 01 Oct 2024
Tiny Robotics Dataset and Benchmark for Continual Object Detection Francesco Pasti Riccardo De Monte Davide Dalle Pezze Gian Antonio Susto Nicola Bellotto 42 1 0 24 Sep 2024
Prompt Baking Aman Bhargava Cameron Witkowski Alexander Detkov Matt W. Thomson AI4CE 38 0 0 04 Sep 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 53 0 0 19 Aug 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning Qifan Zhang Yunhui Guo Yu Xiang CLL VLM 56 0 0 18 Jul 2024
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation Anqi Zhang Guangyu Gao CLL VLM 56 4 0 13 Jul 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method Kishaan Jeeveswaran Elahe Arani Bahram Zonooz CLL 46 3 0 23 Jun 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning Aneesh Muppidi Zhiyu Zhang Heng Yang 34 4 0 26 May 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan Alexandros Agapitos David Lynch Alberto Castagna Giorgio Cruciata Hao Wang Aleksandar Milenovic 46 0 0 30 Apr 2024
Hard ASH: Sparsity and the right optimizer make a continual learner Santtu Keskinen CLL 42 1 0 26 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 48 8 0 27 Mar 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning Kaile Du Yifan Zhou Fan Lyu Yuyang Li Chen Lu Guangcan Liu CLL 42 2 0 19 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 71 2 0 14 Mar 2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning Hongjoon Ahn Jinu Hyeon Youngmin Oh Bosun Hwang Taesup Moon CLL OnRL 37 2 0 08 Mar 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 36 31 0 27 Dec 2023
Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes Qihong Lu Tan Nguyen Qiong Zhang Uri Hasson Thomas Griffiths Jeffrey M. Zacks Samuel Gershman K. A. Norman 38 4 0 13 Dec 2023
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 25 2 0 18 Nov 2023
Class Incremental Learning with Pre-trained Vision-Language Models Xialei Liu Xusheng Cao Haori Lu Jia-Wen Xiao Andrew D. Bagdanov Ming-Ming Cheng VLM 25 12 0 31 Oct 2023
Model Merging by Uncertainty-Based Gradient Matching Nico Daheim Thomas Möllenhoff Edoardo Ponti Iryna Gurevych Mohammad Emtiyaz Khan MoMe FedML 32 44 0 19 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi Hao Wang CLL 34 19 0 18 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation Imad Eddine Marouf Subhankar Roy Enzo Tartaglione Stéphane Lathuilière CLL 29 3 0 17 Oct 2023
Federated Class-Incremental Learning with Prompting Jiale Liu Yu-Wei Zhan Chong-Yu Zhang Xin Luo Zhen-Duo Chen Yinwei Wei CLL FedML 29 2 0 13 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner Qingfeng Lan A. Rupam Mahmood CLL 51 9 0 02 Oct 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse Siyuan Li Haoyang Li Jin Zhang Zhen Wang Peng Liu Chongjie Zhang OffRL 24 1 0 14 Aug 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection Xiaohui Zhang Jiangyan Yi J. Tao Chenglong Wang Chuyuan Zhang CLL 36 23 0 07 Aug 2023
A Definition of Continual Reinforcement Learning David Abel André Barreto Benjamin Van Roy Doina Precup H. V. Hasselt Satinder Singh CLL 33 74 0 20 Jul 2023
Self-paced Weight Consolidation for Continual Learning Wei Cong Yang Cong Gan Sun Yuyang Liu Jiahua Dong CLL 29 14 0 20 Jul 2023
Exploring Continual Learning for Code Generation Models Prateek Yadav Q. Sun Hantian Ding Xiaopeng Li Dejiao Zhang ... Parminder Bhatia Ramesh Nallapati M. K. Ramanathan Joey Tianyi Zhou Bing Xiang CLL 37 30 0 05 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting Yihong Chen Kelly Marchisio Roberta Raileanu David Ifeoluwa Adelani Pontus Stenetorp Sebastian Riedel Mikel Artetx KELM AI4CE CLL 30 24 0 03 Jul 2023
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings Gusseppe Bravo Rocca Peini Liu Jordi Guitart Ajay Dholakia David Ellison 27 1 0 21 Jun 2023
Rehearsal-Free Online Continual Learning for Automatic Speech Recognition Steven Vander Eeckt Hugo Van hamme CLL 40 3 0 19 Jun 2023
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts Shaokun Zhang Yiran Wu Zhonghua Zheng Qingyun Wu Chi Wang OOD 51 7 0 28 May 2023
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation Mohit Sharma Claudio Fantacci Yuxiang Zhou Skanda Koppula N. Heess Jonathan Scholz Y. Aytar VLM 50 29 0 13 Apr 2023
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling Ethan Wisdom Tejas Gokhale Chaowei Xiao Yezhou Yang 26 0 0 30 Mar 2023
CoDeC: Communication-Efficient Decentralized Continual Learning Sakshi Choudhary Sai Aparna Aketi Gobinda Saha Kaushik Roy CLL 53 3 0 27 Mar 2023
Remind of the Past: Incremental Learning with Analogical Prompts Zhiheng Ma Xiaopeng Hong Beinan Liu Yabin Wang Pinyue Guo Huiyun Li CLL 34 1 0 24 Mar 2023
A Multi-Agent Adaptive Deep Learning Framework for Online Intrusion Detection Mahdi Soltani Khashayar Khajavi M. J. Siavoshani A. Jahangir 20 7 0 05 Mar 2023
Measuring the Instability of Fine-Tuning Yupei Du D. Nguyen 25 4 0 15 Feb 2023