Papers
Text Promptable Surgical Instrument Segmentation with Vision-Language Models
Zijian Zhou, Oluwatosin Alabi, Meng Wei et al.
Text-to-Image Diffusion Models are Zero Shot Classifiers
Kevin Clark, Priyank Jaini
Textually Pretrained Speech Language Models
Michael Hassid, Tal Remez, Tu Anh Nguyen et al.
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
Xueyuan Lin, Haihong E, Chengjin Xu et al.
The Adversarial Consistency of Surrogate Risks for Binary Classification
Natalie Frank, Jonathan Niles-Weed
The Bayesian Stability Zoo
Shay Moran, Hilla Schefler, Jonathan Shafer
The Behavior and Convergence of Local Bayesian Optimization
Kaiwen Wu, Kyurae Kim, Roman Garnett et al.
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
Kaiwen Wang, Kevin Zhou, Runzhe Wu et al.
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
Shuyue Hu, Harold Soh, Georgios Piliouras
The Cambridge Law Corpus: A Dataset for Legal AI Research
Andreas Östling, Holli Sargeant, Huiyuan Xie et al.
The CLIP Model is Secretly an Image-to-Prompt Converter
Yuxuan Ding, Chunna Tian, Haoxuan Ding et al.
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks
Ziqian Zhong, Ziming Liu, Max Tegmark et al.
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
Ryan Thompson, Amir Dezfouli, Robert Kohn
The Crucial Role of Normalization in Sharpness-Aware Minimization
Yan Dai, Kwangjun Ahn, Suvrit Sra
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Laixi Shi, Gen Li, Yuting Wei et al.
The Distortion of Binomial Voting Defies Expectation
Yannai A. Gonczarowski, Gregory Kehne, Ariel D Procaccia et al.
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
Spencer Frei, Gal Vardi, Peter L. Bartlett et al.
The Drunkard’s Odometry: Estimating Camera Motion in Deforming Scenes
David Recasens Lafuente, Martin R. Oswald, Marc Pollefeys et al.
The emergence of clusters in self-attention dynamics
Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy et al.
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
AJAY JAISWAL, Shiwei Liu, Tianlong Chen et al.
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
Victor Boone, Panayotis Mertikopoulos
The Exact Sample Complexity Gain from Invariances for Kernel Regression
Behrooz Tahmasebi, Stefanie Jegelka
The expressive power of pooling in Graph Neural Networks
Filippo Maria Bianchi, Veronica Lachi
The Gain from Ordering in Online Learning
Vasilis Kontonis, Mingchen Ma, Christos Tzamos
The geometry of hidden representations of large transformer models
Lucrezia Valeriani, Diego Doimo, Francesca Cuturello et al.