ICLR 2026PastOther
ICLR 2026 Workshop on Unifying Concept Representation Learning
UCRL@ICLR2026
- Submission deadline
- Feb 4, 2026, 12:00 UTCOpenReview-synced 2026-02-04 12:00 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (26)
Fetched from OpenReview (v2) on 2026-06-10.
An Information-Theoretic Approach to Benign Leakage in Static Concept Embedding Models
Automated Concept Discovery for LLM-as-a-Judge Preference Analysis
Automatic Interpretation of Visual Concepts
Causality Guided Representation Learning for Cross-Style Hate Speech Detection
Concept Bottleneck Diffusion for Steerable Generation
Continual learning and refinement of causal models through dynamic predicate invention
Decomposing Representation Drift via Interventions
Diagnosing and Fixing Latent Recovery in Sparse Autoencoders
Digging Deeper: Learning Multi-Level Concept Hierarchies
Do Monolingual Language Models Learn Cross-Lingual Universal Conceptual Representations?
Dynamics Reveals Structure: Challenging the Linear Propagation Assumption
Extracting Representations in LLMs Robust to Distribution Shifts
Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representations
Identifiable Estimation of Causal Concept Effects under Visual Latent Confounding
Multi-shot AutoInterp: Agents Can Explain Complex Features By Refining Explanations
Navigating the Concept Space of Language Models
NEUROLOGIC: From Neural Representations to Interpretable Logic Rules
On the Existence and Behavior of Secondary Attention Sinks
One Language, Two Scripts: Probing Script-Invariance in LLM Concept Representations
Post-hoc Self-explanation of CNNs
Post-hoc Stochastic Concept Bottleneck Models
Self-Interpretable Concept Representations: Training Lightweight Adapters on Vector-Label Pairs
Simulating Concept Bottlenecks with Vision-Language Models
SSCD: Sparse Semantic Concept Defense Against Semantic Adversarial Attacks to Image Classifiers
Syntax-Preserving Hyperbolic Visual-Semantic Embeddings
VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection