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Poster
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Tue 9:00
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LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
Daejin Jo · Sungwoong Kim · Daniel Nam · Taehwan Kwon · Seungeun Rho · Jongmin Kim · Donghoon Lee
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Workshop
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TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction
Pascal Notin · Lodevicus van Niekerk · Aaron Kollasch · Daniel Ritter · Yarin Gal · Debora Marks
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Poster
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Domain Generalization by Learning and Removing Domain-specific Features
Yu Ding · Lei Wang · Bin Liang · Shuming Liang · Yang Wang · Fang Chen
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Poster
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Thu 9:00
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SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
Reinmar Kobler · Jun-ichiro Hirayama · Qibin Zhao · Motoaki Kawanabe
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Workshop
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PhAST: Physics-Aware, Scalable, and Task-specific GNNs for accelerated catalyst design
ALEXANDRE DUVAL · Victor Schmidt · Alex Hernandez-Garcia · Santiago Miret · Yoshua Bengio · David Rolnick
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Poster
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Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
Shitong Luo · Yufeng Su · Xingang Peng · Sheng Wang · Jian Peng · Jianzhu Ma
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Poster
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Thu 14:00
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Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Shizhen Zhao · Xiaojuan Qi
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Poster
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Tue 9:00
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Graph Few-shot Learning with Task-specific Structures
Song Wang · Chen Chen · Jundong Li
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Workshop
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Efficient coding explains neural response homeostasis and stimulus-specific adaptation
Edward Young · Yashar Ahmadian
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Workshop
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LMPriors: Pre-Trained Language Models as Task-Specific Priors
Kristy Choi · Chris Cundy · Sanjari Srivastava · Stefano Ermon
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Poster
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Thu 14:00
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Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization
Long-Kai Huang · Ying Wei
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Workshop
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Designing and Evolving Neuron-Specific Proteases
Han Spinner · Colin Hemez · Julia McCreary · David Liu · Debora Marks
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