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Workshop
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Improving few-shot learning-based protein engineering with evolutionary sampling
Muhammad Zaki Jawaid · Aayushma Gautam · T. Gainous · Dan Hart · Robin Yeo · Timothy Daley
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Workshop
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Learning Generalizable Symbolic Options for Transfer in Reinforcement Learning
Rashmeet Kaur Nayyar · Shivanshu Verma · Siddharth Srivastava
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Workshop
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Transfer Learning for Structured Pruning under Limited Task Data
Lucio M Dery · Awni Hannun · David Grangier
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Workshop
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Sat 13:30
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On the Distillation of Stories for Transferring Narrative Arcs in Collections of Independent Media
Dylan Ashley · Vincent Herrmann · Zachary Friggstad · Jürgen Schmidhuber
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Workshop
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ResolvNet: A Graph Convolutional Network with multi-scale Consistency
Christian Koke · Abhishek Saroha · Yuesong Shen · Marvin Eisenberger · Daniel Cremers
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Workshop
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MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning
Arundhati Banerjee · Soham Phade · Stefano Ermon · Stephan Zheng
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Workshop
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HateXplain Space Model: Fusing Robustness with Explainability in Hate Speech Analysis
Md Fahim · Md Shihab Shahriar · Mohammad Ruhul Amin
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Workshop
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Ask Your Shift if Pre-Training is Right for You
Benjamin Cohen-Wang · Joshua Vendrow · Aleksander Madry
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Workshop
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Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks
Xiaodong Yu · Hao Cheng · Xiaodong Liu · Dan Roth · Jianfeng Gao
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Workshop
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On Transferring Expert Knowledge from Tabular Data to Images
Jun-Peng Jiang · Han-Jia Ye · Leye Wang · Yang Yang · Yuan Jiang · De-Chuan Zhan
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Workshop
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Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Qile Zhou · Han-Jia Ye · Leye Wang · De-Chuan Zhan
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Workshop
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Predicting Adsorption Energies for Catalyst Screening with Transfer Learning Using Crystal Hamiltonian Graph Neural Network
Angelina Chen · Hui Zheng · Paula Harder
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