ICML 2024
2,610 papers
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
Dyah Adila, SHUAI ZHANG, Boran Han, Bernie Wang
BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images
Sandesh Adhikary, Anqi Li, Byron Boots
FrameQuant: Flexible Low-Bit Quantization for Transformers
Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas Singh
A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
Ben Adcock, Juan M. Cardenas, Nick Dexter
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Aakriti Jain, Thomas Wiegand
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya
Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection
Abhinab Acharya, Dayou Yu, Qi Yu, Xumin Liu
InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
Reyna Abhyankar, Zijian He, Vikranth Srivatsa, Hao Zhang, Yiying Zhang
Adaptively Perturbed Mirror Descent for Learning in Games
Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Atsushi Iwasaki
Revisiting Character-level Adversarial Attacks for Language Models
Elias Abad Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher