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55 Results

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Poster
Thu 14:00 Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Lingjiao Chen · Matei Zaharia · James Zou
Poster
Thu 9:00 AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning
Tao Yang · JInghao Deng · Xiaojun Quan · Qifan Wang · Shaoliang Nie
Poster
InterpretDL: Explaining Deep Models in PaddlePaddle
Xuhong Li · Haoyi Xiong · Xingjian Li · Xuanyu Wu · Zeyu Chen · Dejing Dou
Poster
Optimal Positive Generation via Latent Transformation for Contrastive Learning
Yinqi Li · Hong Chang · Bingpeng MA · Shiguang Shan · Xilin Chen
Poster
Wed 14:00 Decision Trees with Short Explainable Rules
Victor Feitosa Souza · Ferdinando Cicalese · Eduardo Laber · Marco Molinaro
Workshop
Fri 10:20 The Perceptual Primacy of Feeling: Affectless machine vision models explain the majority of variance in visually evoked affect and aesthetics
Colin Conwell
Poster
Enhanced Latent Space Blind Model for Real Image Denoising via Alternative Optimization
Chao Ren · Yizhong Pan · Jie Huang
Workshop
Evaluating vaccine allocation strategies using simulation-assisted causal modelling
Armin Kekić · Jonas Dehning · Luigi Gresele · Julius von Kügelgen · Viola Priesemann · Bernhard Schölkopf
Poster
Wed 14:00 Deep Bidirectional Language-Knowledge Graph Pretraining
Michihiro Yasunaga · Antoine Bosselut · Hongyu Ren · Xikun Zhang · Christopher D Manning · Percy Liang · Jure Leskovec
Poster
Wed 9:00 Implications of Model Indeterminacy for Explanations of Automated Decisions
Marc-Etienne Brunet · Ashton Anderson · Richard Zemel
Poster
Tue 14:00 Harmonizing the object recognition strategies of deep neural networks with humans
Thomas FEL · Ivan F Rodriguez Rodriguez · Drew Linsley · Thomas Serre
Poster
Wed 9:00 Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
Michael Poli · Winnie Xu · Stefano Massaroli · Chenlin Meng · Kuno Kim · Stefano Ermon