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Poster
Tue 14:00 Retrieval-Augmented Multimodal Language Modeling
Michihiro Yasunaga · Armen Aghajanyan · Weijia Shi · Richard James · Jure Leskovec · Percy Liang · Mike Lewis · Luke Zettlemoyer · Scott Yih
Oral
Thu 19:04 Learning-Rate-Free Learning by D-Adaptation
Aaron Defazio · Konstantin Mishchenko
Poster
Wed 17:00 Self-supervised learning of Split Invariant Equivariant representations
Quentin Garrido · Laurent Najman · Yann LeCun
Poster
Thu 16:30 Fair Neighbor Embedding
Jaakko Peltonen · Wen Xu · Timo Nummenmaa · Jyrki Nummenmaa
Poster
Thu 16:30 Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
Kwangho Kim · Jose Zubizarreta
Oral
Tue 21:10 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
Mikael Henaff · Minqi Jiang · Roberta Raileanu
Oral
Thu 18:48 Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Zichang Liu · Jue Wang · Tri Dao · Tianyi Zhou · Binhang Yuan · Zhao Song · Anshumali Shrivastava · Ce Zhang · Yuandong Tian · Christopher Re · Beidi Chen
Oral
Wed 19:00 RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
Quentin Garrido · Randall Balestriero · Laurent Najman · Yann LeCun
Poster
Thu 13:30 Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Saro Passaro · Larry Zitnick
Oral
Tue 21:18 Why does Throwing Away Data Improve Worst-Group Error?
Kamalika Chaudhuri · Kartik Ahuja · Martin Arjovsky · David Lopez-Paz
Panel
Wed 19:00 AI and Marginalized Languages
Shruti Rijhwani · Keoni Kealoha Mahelona · Hady Elsahar · Jihyung Moon · Steven Bird
Poster
Thu 13:30 Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Rame · Kartik Ahuja · Jianyu Zhang · Matthieu Cord · Leon Bottou · David Lopez-Paz