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Poster
Tue 1:45 On Bias-Variance Alignment in Deep Models
Lin Chen · Michal Lukasik · Wittawat Jitkrittum · Chong You · Sanjiv Kumar
Workshop
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL
Yongjin Yang · Sihyeon Kim · SangMook Kim · Gyubok Lee · Se-Young Yun · Edward Choi
Workshop
Model & Data Insights using Pre-trained Language Models
Saeid Asgari · Aliasghar Khani · Amir Khasahmadi · Aditya Sanghi · Karl Willis · Ali Mahdavi Amiri
Workshop
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
Lukas Struppek · Dominik Hintersdorf · Felix Friedrich · Manuel Brack · Patrick Schramowski · Kristian Kersting
Workshop
Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks
Alex Murphy · Joel Zylberberg · Alona Fyshe
Workshop
The benefits of Incorporating Shape Priors in Contrastive Learning
Junru Zhao · Tianqin Li · Tai Lee
Workshop
Neural Retrievers are Biased Towards LLM-Generated Content
Sunhao Dai · Yuqi Zhou · Liang Pang · Weihao Liu · Xiaolin Hu · Yong Liu · Xiao Zhang · Gang Wang · Jun Xu
Workshop
Removing High Frequency Information Improves DNN Behavioral Alignment
Max Wolff · Evgenia Rusak · Wieland Brendel
Workshop
Protein language models are biased by unequal sequence sampling across the tree of life
Frances Ding · Jacob Steinhardt
Workshop
Implicit Bias and Fast Convergence Rates for Self-attention
Bhavya Vasudeva · Puneesh Deora · Christos Thrampoulidis
Workshop
Biased Causal Strength Judgments in Humans and Large Language Models
Anita Keshmirian · Moritz Willig · Babak Hemmatian · Ulrike Hahn · Kristian Kersting · Tobias Gerstenberg
Workshop
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Representation Learning
Simon Schrodi · David Hoffmann · Max Argus · Volker Fischer · Thomas Brox