ICLR 2023

Poster

Concept-level Debugging of Part-Prototype Networks
Andrea Bontempelli · Stefano Teso · Katya Tentori · Fausto Giunchiglia · Andrea Passerini

Poster

Wed 7:30

DAVA: Disentangling Adversarial Variational Autoencoder
Benjamin Estermann · Roger Wattenhofer

Oral

Wed 1:30

CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
Tuomas Oikarinen · Tsui-Wei Weng

Poster

Wed 2:30

CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
Tuomas Oikarinen · Tsui-Wei Weng

Poster

Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
Borui Zhang · Wenzhao Zheng · Jie Zhou · Jiwen Lu

Poster

On Explaining Neural Network Robustness with Activation Path
Ziping Jiang

Poster

Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
Haoyu Wang · Pan Li

Poster

Mon 2:30

A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
Xiang Hu · XinYu KONG · Kewei Tu

Poster

Wed 7:30

Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
Biswadeep Chakraborty · Saibal Mukhopadhyay

Poster

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju · Tong Zhao · Qianlong Wen · Wenhao Yu · Neil Shah · Yanfang Ye · Chuxu Zhang

Poster

Effective Self-supervised Pre-training on Low-compute Networks without Distillation
Fuwen Tan · Fatemeh Sadat Saleh · Brais Martinez

Poster

Wed 2:30

Robust Explanation Constraints for Neural Networks
Matthew Wicker · Juyeon Heo · Luca Costabello · Adrian Weller

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