ICML 2026 Past Climate & sustainability
Continual Adaptation at Scale: Towards Sustainable AI Workshop
CATS@ICML26
- Submission deadline
- May 6, 2026, 12:00 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (47)
Fetched from OpenReview (v2) on 2026-06-10.
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A loss curvature account of fine-tuning fragility
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Aligning Language Models from User Interactions
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Audit Before You Merge: Provenance, Probing, and Continual LoRA Composition
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AV-CTTA: Audio-Visual Continual Test-Time Adaptation without Forgetting
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Beyond Classification: Continual Learning for Multimodal Retrieval
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Calibrated Target-Aware Data Selection for Continual Mid-Training in Streams
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Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams
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Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation
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Characterizing Plastic Regions in Neural Networks
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Continual Causal Refinement: Learning from Sequential Perturbation Data
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Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics
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Continual Learning of Physical Systems via Derivative Distillation
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DECAF: De-Clustering for Adaptive Representational Unlearning
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Early Data Exposure Improves Robustness to Subsequent Fine-Tuning
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Experience-Guided Behavior Adaptation for Large Language Models
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Externalizing Plasticity: Zero-Update Continual Learning via Symbolic Memories
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Factor Imbalance and Plasticity Loss in Low-Rank Factorized Networks
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Fast-weight Product Key Memory
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Functional Task Networks: Cortex-Inspired Spatial Parameter Isolation for Continual Learning
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Hard-First: Entropy-Guided Curriculum Distillation Balances Transfer and Preservation in Biomedical Vision-Language Models
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Is Our Benchmark Enough? An Analysis of Continual Learning for MLLMs
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Listen, Look, and Learn: Learning Without Forgetting through SAM-Audio
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Machine Studying: A System-Level Reframing of Continual Adaptation from Declarative Corpora
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Measurement Plasticity: Sensor-Level Adaptation for Vision–Language Models
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Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT?
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MeMo: Memory as a Model
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Merging Adapted Models via Data-Free Covariance Estimation
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Mitigating Catastrophic Forgetting in Continual RL via Certified Alignment
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On the Importance of Trivial Baselines: Re-evaluating LoRA Adapter Transfer for Generative Tasks
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On-Policy Adaptation Mitigates Hyperparameter-Sensitive Forgetting in Vision-Language Models
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Organized Plasticity for Cost-Bounded Continual Adaptation
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Orthogonal Mixture-of-Expert Low-Rank Adapter for Continual Learning
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Provable Forgetting Bounds Drive Capacity Savings: Spectral Thresholding in Continual LoRA
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Quantifying Subliminal Behavioral Transfer Ratios in Language Model Distillation
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REPO: Detoxifying LLMs via Representation Erasure-based Preference Optimization
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RepSelect: Robust LLM Unlearning via Representational Selectivity
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Rotation-Preserving Supervised Fine-Tuning
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Route, Reuse, Repurpose: Continual Adaptation of LLMs with Bounded Adapter Pools
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Selective Memory Retention for Long-Horizon LLM Agents
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Semantic Grouping with Dual-Strategy Distributional Rehearsal for Continual Learning
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SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection
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Staged Continual Adaptation of Multimodal Foundation Models for Japanese Financial Documents
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Subspace Optimization for Backpropagation-Free Continual Test-Time Adaptation
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Tell Me What To Learn: Generalizing Neural Memory to be Controllable in Natural Language
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Test-Time Training for Visual Foresight Vision-Language-Action Models
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The Geometry of Forgetting: A Fisher-Information Framework for Alignment-Preserving Continual Adaptation
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TIMEGATE: Sustainable Time-Boxed Promotion Gates for Continual ML Adaptation Under Resource Constraints