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Volume 243: Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 15 December 2023, Ernest N. Morial Convention Center, New Orleans, USA
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Editors: Marco Fumero, Emanuele Rodolá, Clementine Domine, Francesco Locatello, Karolina Dziugaite, Caron Mathilde
Preface of UniReps: the First Workshop on Unifying Representations in Neural Models
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:1-10
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Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:11-26
WavSpA: Wavelet Space Attention for Boosting Transformers’ Long Sequence Learning Ability
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:27-46
NEUCORE: Neural Concept Reasoning for Composed Image Retrieval
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:47-59
What Mechanisms Does Knowledge Distillation Distill?
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:60-75
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:76-86
Multimodal decoding of human brain activity into images and text
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:87-101
On Transferring Expert Knowledge from Tabular Data to Images
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:102-115
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:116-132
Linearly Structured World Representations in Maze-Solving Transformers
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:133-143
A General Method for Testing Bayesian Models using Neural Data
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:144-157
On the Direct Alignment of Latent Spaces
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:158-169
Comparing neural models using their perceptual discriminability predictions
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:170-181
Semi-Ensemble: A Simple Approach Over-parameterize Model Interpolation
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:182-193
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:194-208
Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:209-222
DisCoV: Disentangling Time Series Representations via Contrastive based $l$-Variational Inference
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:223-236
NoPose-NeuS: Jointly Optimizing Camera Poses with Neural Implicit Surfaces for Multi-view Reconstruction
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:237-248
Object-Centric Semantic Vector Quantization
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:249-266
Supervising Variational Autoencoder Latent Representations with Language
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:267-278
Visual Expertise Explains Image Inversion Effects
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:279-290
Role Taxonomy of Units in Deep Neural Networks
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:291-301
A sparse null code emerges in deep neural networks
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:302-314
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:315-325
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:326-341
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