Forgetting

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5 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-14

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72 papers

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Investigating catastrophic forgetting in sound event classification
Sep 12, 2026Riccardo Casciotti, Annamaria MesarosClip-Based Class-Incremental Learning Catastrophic Forgetting
Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs
Sep 9, 2026Ravi Ranjan, Olivera Kotevska, Agoritsa PolyzouLarge Language Model Unlearning Machine Unlearning
What Should an Agent Forget? Separating What Is Stored from What Is Used
Sep 9, 2026Yuhang Li, Yuchen LiConversational Memory Forgetting
What Eviction Destroys: A Restore-Counterfactual Audit of Forgetting in Agent Memory
Sep 8, 2026Chen ShenEviction Agent Memory
Confess What You Know: Forget-Set Misalignment with Model Knowledge in LLM Unlearning
Sep 1, 2026Miso Kim, Georu Lee, Seungwon Jeong +1Large Language Model Unlearning Forgetting
What to Preserve, Where to Adapt: A Depth-Wise Analysis of Forgetting in Continual Gynecological Image Segmentation
Aug 13, 2026Amal Saqib, Tausifa Jan Saleem, Numan Saeed +1Catastrophic Forgetting Medical Image Segmentation
Uniform Herding: Exemplar Replay with Representation Refresh
Aug 13, 2026Krishna SubediRetraining Forgetting
Catastrophic Forgetting in Continual Reinforcement Learning
Aug 9, 2026Emma GrahamCatastrophic Forgetting Forgetting
STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models
Aug 6, 2026Songpan Gao, Yajie Zhang, Guanxing Chen +9Clip-Based Class-Incremental Learning Medical Imaging
Remember-R1: Mitigating Long-Context Visual Forgetting through Reinforcement Learning
Aug 2, 2026Jianmin Chen, Jiaqi Tang, Wei Wei +9Latent Visual Reasoning Catastrophic Forgetting
Lethe: How Hard Is It to Forget? A Benchmark for Federated Unlearning in Medical Imaging
Aug 2, 2026Shengchao Chen, Ting ShuMedical Imaging Privacy-Preserving Framework
Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models
Aug 2, 2026Junkai Lin, Junkai Chen, Siqi Hou +5Large Language Model Unlearning Large Multimodal Models
The Art of Not Forgetting A Local Learning Architecture for Continual Learning
Jul 29, 2026Ashmith Atmuri, Yashaswini Rao BhogarajulaCatastrophic Forgetting Continual Learning
The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL
Jul 22, 2026Gurp NijjerForgetting Dream
Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification
Jul 21, 2026Simone MilaniEfficient Continual Learning Continual Learning
Traceback Translators Against Forgetting in Continual Fake Speech Detection
Jul 14, 2026Enrico Gottardis, Mattia Tamiazzo, Simone MilaniAudio Deepfake Detection Unsupervised Detectors
Forgetting Our Way to Shared Meaning: Effects of Forgetting on Conceptual Alignment in a Non-Partnership Coordination Game
Jul 13, 2026Landon Liu, Mary Kelly, Alan TsangEmergence Forgetting
Creativity, honesty and designed forgetting emerge in small hyperbolic language models
Jul 10, 2026Kwan Soo Shin, In Seok Kang, Yunkyung MinArtificial Intelligence Companions Small Large Language Models
Denser $\neq$ Better: Limits of On-Policy Self-Distillation for Continual Post-TrainingDenser \neq Better: Limits of On-Policy Self-Distillation for Continual Post-Training
Jul 2, 2026Meng Wang, Haohan Zhao, Wenzhuo Liu +7Unsupervised On-Policy Self-Distillation Efficient Continual Learning
LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression
Jul 2, 2026Bowen Yuan, Zijian Wang, Yadan Luo +2Lens Forgetting
Neural Subspace Reallocation: Continual Learning as Retrieval-Based Subspace Memory Management
Jun 29, 2026Byeong Hoon YoonEfficient Continual Learning Continual Learning
Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining
Jun 24, 2026Juliana Li, Diya SreedharModel Pretraining Grokking
Erased, but Not Gone: Output Forgetting Is Not True Forgetting
Jun 23, 2026Teresa Pui Yee Yong, Win Kent Ong, Chee Seng ChanForgetting Catastrophic Forgetting
Attention-Spectrum Regularization for Replay-Free Continual Multimodal LLMs
Jun 22, 2026Chuangxin Zhao, Canran Xiao, Siyuan Ma +5Large Multimodal Models Efficient Continual Learning
Sparsity, Superposition, and Forgetting: A Mechanistic Study of Representation Retention in Continual Learning
Jun 18, 2026Jan Wasilewski, Jędrzej Kozal, Michał Woźniak +1Catastrophic Forgetting Forgetting
TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations
Jun 15, 2026Rutger Hendrix, Leonardo G. Russo, Concetto Spampinato +2Machine Unlearning Privacy-Preserving Framework
InstantForget: Update-Free Backdoor Unlearning with Inference-Time Feature Reset
Jun 14, 2026Zhenyu YuBackdoor Attacks Machine Unlearning
When the Same Musical Knowledge Forgets Differently: A Clean Probe of Pathway-Dependent Forgetting
Jun 13, 2026Yu Liu, Zhiwei Yang, Wenxiao Zhang +8Forgetting Piano
FOGO: Forgetting-aware Orthogonalization Optimizer
Jun 9, 2026Toan Nguyen, Yang Liu, Trung Le +2Forgetting Adaptive Optimizers
Not Just After One: Sleep-Inspired Replay Prevents Catastrophic Forgetting After Sequential Tasks
Jun 7, 2026Anthony Bazhenov, Jean Erik Delanois, Giri P. KrishnanCatastrophic Forgetting Forgetting
FlashbackCL: Mitigating Temporal Forgetting in Federated Learning
Jun 2, 2026Mubarak A. Ojewale, Adriana E. Chis, Jorge M. Cortes-Mendoza +2Efficient Continual Learning Forgetting
Forgetting is Not Erasure: Recovering Latent Knowledge via Transport Keys
Jun 1, 2026Archie ChaudhuryCatastrophic Forgetting Forgetting
Forget Attention: Importance-Aware Attention Is All You Need
Jun 1, 2026Suhyeong Shin, Yeongwook YangSoftmax Attention Protein Language Model
Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning
May 31, 2026Anushka Tiwari, Kaiyi JiEfficient Continual Learning Transferable Knowledge
Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning
May 29, 2026Polina Dolgova, Sebastian U. StichMachine Unlearning Forgetting
RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting
May 29, 2026Yuduo Li, Xiaofeng Shi, Qian Kou +2Forgetting
Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies
May 28, 2026Kajetan Schweighofer, Conor F. Hayes, Roberto Dailey +2Large Language Model Fine-Tuning Catastrophic Forgetting
Understanding Generalization and Forgetting in In-Context Continual Learning
May 27, 2026Guangyu Li, Meng Ding, Lijie HuIn-Context Learning Efficient Continual Learning
Can VLA Models Learn from Real-World Data Continually without Forgetting?
May 26, 2026Jiarun Zhu, Yijun Hong, Xiaoquan Sun +5Diffusion-Based Vision-Language-Actions Vision-Language-Action
Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay
May 25, 2026Martin Marek, Dongkyu Cho, Shikai Qiu +3Forgetting Large Language Model Memory
Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions
May 23, 2026Volodymyr OvcharovLegal Domain Hours-Long Classifier Training Phase
Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates
May 19, 2026Parjanya Prajakta Prashant, Jiongli Zhu, Aldan Creo +1Finetuning Learning Rates
UAM: A Dual-Stream Perspective on Forgetting in VLA Training
May 15, 2026Jianke Zhang, Yuanfei Luo, Yucheng Hu +6Vision-Language-Action Visuomotor Control
Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory
May 14, 2026Songwei Dong, Zihan Chen, Chengshuai Shi +3Large Language Model Memory Large Language Model Evaluation
Understanding Imbalanced Forgetting in Rehearsal-Based Class-Incremental Learning
May 14, 2026Alberto Tamajo, Srinandan Dasmahapatra, Rahman AttarClip-Based Class-Incremental Learning Catastrophic Forgetting
ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition
May 14, 2026Shen Lin, Jing Lin, Junhao Dong +2Large Language Model Unlearning Machine Unlearning
Early Data Exposure Improves Robustness to Subsequent Fine-Tuning
May 12, 2026Lawrence Feng, Gaurav R. Ghosal, Jacob Mitchell Springer +2Finetuning Retention
Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning
May 10, 2026Katarzyna Filus, Kamil Faber, Roberto Corizzo +1Forgetting Continual Learning
The Geometry of Forgetting: Temporal Knowledge Drift as an Independent Axis in LLM Representations
May 9, 2026Rania Elbadry, Ahmed Heakl, Fan Zhang +4Large Language Model Memory Forgetting
Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning
May 9, 2026Renjie Gu, Jiazhen Du, Yihua Zhang +1Large Language Model Unlearning Large Language Model Reliability
Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study
May 7, 2026Bomin Wang, Hangqi Zhou, Yibo Gao +1Medical Image Segmentation Continual Learning
Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning
May 7, 2026Yanming Xia, Angelica I. Aviles-RiveroNeural Operators Forgetting
CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning
May 7, 2026Md Anwar Hossen, Fatema Siddika, Juan Pablo Munoz +2Large Language Model Adaptation Catastrophic Forgetting
ScrapMem: A Bio-inspired Framework for On-device Personalized Agent Memory via Optical Forgetting
May 5, 2026Jiale Chang, Yuxiang RenAgent Memory Forgetting
Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks
May 5, 2026JuneHyoung Kwon, MiHyeon Kim, Eunju Lee +3Large Language Model Unlearning Unlearning Aims
Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning
May 4, 2026Prakhar Gupta, Garv Shah, Satyam Goyal +1Large Language Model Memory Finetuning
Sharpness-Aware Pretraining Mitigates Catastrophic Forgetting
May 4, 2026Ishaan Watts, Catherine Li, Sachin Goyal +2Catastrophic Forgetting Forgetting
Sequential Learning and Catastrophic Forgetting in Differentiable Resistor Networks
May 2, 2026Maniru IbrahimCatastrophic Forgetting Sequential Learning
Learning to Forget: Continual Learning with Adaptive Weight Decay
Apr 29, 2026Aditya A. Ramesh, Alex Lewandowski, Jürgen SchmidhuberWeight Decay Continual Learning
PrivUn: Unveiling Latent Ripple Effects and Shallow Forgetting in Privacy Unlearning
Apr 23, 2026Xiaoyi Chen, Haoyuan Wang, Siyuan Tang +4Machine Unlearning Heuristic Privacy Metrics

Sep 12, 2026 · eess.ASJ/K move · Enter open · S save

Investigating catastrophic forgetting in sound event classification

Riccardo Casciotti, Annamaria Mesaros

This work investigates a number of approaches to prevent catastrophic forgetting in class incremental learning scenarios for sound event classification tasks. We analyze the problem using architectural and regularization approaches, using FSD50K and AudioSet datasets. We design incremental stages and solutions that selectively protect the kernels of the network from weight updates to prevent catastrophic forgetting, and a dynamic head solution that expands itself each time a new task is learned. The findings show that catastrophic forgetting mainly happens in deeper layers, in particular in the classifier head. For the studied in-domain sound classification problem, the solution that seems to alleviate catastrophic forgetting and is the most efficient is a full freezing of the feature extractor with a fine-tuning of the dynamic head classifier, showing little to no forgetting and great training stability, and a good balance between memory-stability and learning plasticity.

Clip-Based Class-Incremental Learning Catastrophic Forgetting Forgetting Audio Generation and Processing

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