ICLR 2024PastSafety & alignment
ICLR 2024 Workshop on Representational Alignment
ICLR 2024 Workshop Re-Align
- Submission deadline
- Feb 9, 2024, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (56)
Fetched from OpenReview (v2) on 2026-06-10.
A case for sparse positive alignment of neural systems
An Analysis of Human Alignment of Latent Diffusion Models
Beyond Sight: Probing Alignment Between Image Models and Blind V1
Biased Causal Strength Judgments in Humans and Large Language Models
Brain-inspired $L_p$-Convolution benefits large kernels and aligns better with visual cortex
Can Foundation Models Smell Like Humans?
Can Generative Multimodal Models Count to Ten?
Categories vs Semantic Features: What shape the similarities people discern in photographs of objects?
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lag
Context-Sensitive Semantic Reasoning in Large Language Models
Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks
Differentiable Optimization of Similarity Scores Between Models and Brains
Disentangling Recurrent Neural Dynamics with Stochastic Representational Geometry
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration
Enriching ConvNets with pre-cortical processing enhances alignment with human brain responses
Explaining Human Comparisons using Alignment-Importance Heatmaps
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
How aligned are different alignment metrics?
Human and Deep Neural Network Alignment in Navigational Affordance Perception
Human-like Geometric Abstraction in Large Pre-Trained Neural Networks
Humans diverge from language models when predicting spoken language
Identifying and Interpreting Non-Aligned Human Conceptual Representations using Language Modeling
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
Inferring DNN-Brain Alignment using Representational Similarity Analyses can be Problematic
Inter-animal transforms as a guide to model-brain comparison
Is my "red" your "red"?: Unsupervised alignment of qualia structures via optimal transport
Koopman Operator Based Dynamical Similarity Analysis for Data-driven Quantification of Distance between Dynamics
Learning and Aligning Structured Random Feature Networks
Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning
Less is More: Discovering Concise Network Explanations
Lessons learned in the study of representational alignment in physical reasoning
Measuring Human-CLIP Alignment at Different Abstraction Levels
Measuring Mechanistic Interpretability at Scale Without Humans
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
Modality-Agnostic fMRI Decoding of Vision and Language
On convex decision regions in deep network representations
On the universality of neural encodings in CNNs
ReAlnet: Achieving More Human Brain-Like Vision via Human Neural Representational Alignment
Removing High Frequency Information Improves DNN Behavioral Alignment
Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the Brain
Self-supervised learning facilitates neural representation structures that can be unsupervisedly aligned to human behaviors
Simplicity in Complexity
Symbolic Variables in Distributed Networks that Count
TEMPERATURE-SCALING SURPRISAL ESTIMATES IMPROVE FIT TO HUMAN READING TIMES – BUT DOES IT DO SO FOR THE “RIGHT REASONS”?
Texture bias in primate ventral visual cortex
The benefits of Incorporating Shape Priors in Contrastive Learning
The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication
The impact of task structure, representational geometry, and learning mechanism on compositional generalization
The role of shared labels and experiences in representational alignment
Topoformer: brain-like topographic organization in Transformer language models through spatial querying and reweighting
Towards neural foundation models for vision: Aligning EEG, MEG and fMRI representations to perform decoding, encoding and modality conversion
Unsupervised alignment reveals structural commonalities and differences in neural representations of natural scenes across individuals and brain areas
Unveiling the Dynamics of Transfer Learning Representations
What Causes Polysemanticity? An Alternative Origin Story of Mixed Selectivity from Incidental Causes
Wild Comparisons: A Study of how Representation Similarity Changes when Input Data is Drawn from a Shifted Distribution