Towards Robust Evaluations of Continual Learning

24 May 2018

Papers citing "Towards Robust Evaluations of Continual Learning"

50 / 191 papers shown

Title
Autoencoder-Based Hybrid Replay for Class-Incremental Learning M. Nori Il Kim Guanghui Wang CLL 50 0 0 09 May 2025
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks Isabelle Aguilar Luis Fernando Herbozo Contreras Omid Kavehei 59 0 0 27 Mar 2025
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation Menghao Waiyan William Zhu Pengcheng Hao E. Kuruoglu BDL 40 0 0 10 Mar 2025
Knowledge Retention for Continual Model-Based Reinforcement Learning Yixiang Sun Haotian Fu M. L. Littman G. Konidaris OffRL CLL VLM 49 0 0 06 Mar 2025
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation Xiwen Wei Guihong Li R. Marculescu 42 2 0 08 Nov 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings M. Nori Il Kim CLL 44 3 0 28 Oct 2024
Temporal-Difference Variational Continual Learning L. Melo Alessandro Abate Yarin Gal BDL CLL VLM 46 0 0 10 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 38 0 0 02 Oct 2024
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory Francesco Mori Stefano Sarao Mannelli Francesca Mignacco 28 3 0 26 Sep 2024
Neural Network Plasticity and Loss Sharpness Max Koster Jude Kukla 18 0 0 25 Sep 2024
LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation Qiyuan Wang Shang Zhao Zikang Xu S Kevin Zhou 31 0 0 14 Sep 2024
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels Monica Millunzi Lorenzo Bonicelli Angelo Porrello Jacopo Credi Petter N. Kolm Simone Calderara CLL 38 2 0 26 Aug 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning Weichen Lin Jiaxiang Chen Ru Huang Huihua Ding CLL 44 0 0 30 Jul 2024
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning Emanuele Frascaroli Aniello Panariello Pietro Buzzega Lorenzo Bonicelli Angelo Porrello Simone Calderara VLM CLL 35 3 0 22 Jul 2024
An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning Martin Menabue Emanuele Frascaroli Matteo Boschini Lorenzo Bonicelli Angelo Porrello Simone Calderara CLL 23 0 0 19 Jul 2024
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer Qian Feng Hanbin Zhao Chao Zhang Jiahua Dong Henghui Ding Yu-Gang Jiang Hui Qian VLM 39 3 0 04 Jul 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method Kishaan Jeeveswaran Elahe Arani Bahram Zonooz CLL 44 3 0 23 Jun 2024
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers Thomas Bouvier Bogdan Nicolae Hugo Chaugier Alexandru Costan Ian Foster Gabriel Antoniu 38 1 0 05 Jun 2024
AGALE: A Graph-Aware Continual Learning Evaluation Framework Tianqi Zhao Alan Hanjalic Megha Khosla 29 1 0 03 Jun 2024
Improving Data-aware and Parameter-aware Robustness for Continual Learning Hanxi Xiao Fan Lyu CLL 27 0 0 27 May 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks Ashutosh Kumar Sonali Agarwal D. J. Hemanth 32 0 0 11 May 2024
Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning F. Sarfraz Bahram Zonooz Elahe Arani CLL 34 2 0 04 May 2024
Toward industrial use of continual learning : new metrics proposal for class incremental learning Mohamed Abbas Konaté A. Yao T. Chateau P. Bouges CLL 24 0 0 10 Apr 2024
Selective Attention-based Modulation for Continual Learning Giovanni Bellitto Federica Proietto Salanitri M. Pennisi Matteo Boschini Angelo Porrello Simone Calderara S. Palazzo C. Spampinato CLL 32 1 0 29 Mar 2024
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models Saurav Jha Dong Gong Lina Yao CLIP VLM 33 8 0 28 Mar 2024
Continual Learning via Sequential Function-Space Variational Inference Tim G. J. Rudner Freddie Bickford-Smith Qixuan Feng Yee Whye Teh Y. Gal 21 38 0 28 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 16 0 0 06 Dec 2023
Distributed Continual Learning with CoCoA in High-dimensional Linear Regression Martin Hellkvist Ayça Özçelikkale Anders Ahlén OOD 33 1 0 04 Dec 2023
Negotiated Representations to Prevent Forgetting in Machine Learning Applications Nuri Korhan Ceren Öner CLL 16 0 0 30 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation Ali Abbasi Chayne Thrash Elaheh Akbari Daniel Zhang Soheil Kolouri MU 30 3 0 21 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning Ali Abbasi Parsa Nooralinejad Hamed Pirsiavash Soheil Kolouri CLL KELM AAML 26 5 0 20 Nov 2023
Continual Learning of Unsupervised Monocular Depth from Videos Hemang Chawla Arnav Varma Elahe Arani Bahram Zonooz 33 6 0 04 Nov 2023
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning Anton Lee Yaqian Zhang Heitor Murilo Gomes Albert Bifet Bernhard Pfahringer CLL 8 2 0 30 Oct 2023
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning Shruthi Gowda Bahram Zonooz Elahe Arani 17 3 0 17 Oct 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning Yihua Zhang Yimeng Zhang Aochuan Chen Jinghan Jia Jiancheng Liu Gaowen Liu Min-Fong Hong Shiyu Chang Sijia Liu AAML 29 8 0 13 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner Qingfeng Lan A. R. Mahmood CLL 42 9 0 02 Oct 2023
Clustering-based Domain-Incremental Learning Christiaan Lamers René Vidal A. Belbachir N. V. Stein Thomas Baeck Paris Giampouras CLL OOD 29 10 0 21 Sep 2023
Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization Jack Foster Alexandra Brintrup CLL 19 0 0 15 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki Shinýa Yamaguchi Shoichiro Takeda Sekitoshi Kanai Naoki Makishima Atsushi Ando Ryo Masumura AAML 30 4 0 31 Aug 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams Yiqun Diao Yutong Yang Q. Li Bin He Mian Lu 14 1 0 29 Aug 2023
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures Sandeep Madireddy A. Yanguas-Gil Prasanna Balaprakash CLL 13 1 0 08 Aug 2023
AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning Xingyu Li Bo Tang Haifeng Li CLL 23 22 0 07 Aug 2023
A Probabilistic Framework for Modular Continual Learning Lazar Valkov Akash Srivastava Swarat Chaudhuri Charles Sutton CLL 16 1 0 11 Jun 2023
Masked Autoencoders are Efficient Continual Federated Learners Subarnaduti Paul Lars-Joel Frey Roshni Kamath Kristian Kersting Martin Mundt CLL FedML 24 1 0 06 Jun 2023
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift Thomas L. Lee Amos Storkey BDL 22 3 0 30 May 2023
Online Continual Learning Without the Storage Constraint Ameya Prabhu Zhipeng Cai P. Dokania Philip H. S. Torr V. Koltun Ozan Sener CLL 118 31 0 16 May 2023
Accelerating Batch Active Learning Using Continual Learning Techniques Arnav M. Das Gantavya Bhatt M. Bhalerao Vianne R. Gao Rui Yang J. Bilmes VLM CLL 24 10 0 10 May 2023
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning Kishaan Jeeveswaran Prashant Bhat Bahram Zonooz Elahe Arani CLL 24 19 0 08 May 2023
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning Lorenzo Bonicelli Matteo Boschini Emanuele Frascaroli Angelo Porrello M. Pennisi Giovanni Bellitto S. Palazzo C. Spampinato Simone Calderara CLL 24 3 0 05 May 2023
A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning F. Sarfraz Elahe Arani Bahram Zonooz 27 2 0 13 Apr 2023