Papers
Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
Max Van Spengler, Pascal Mettes
Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
Loek Van Rossem, Andrew M Saxe
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
Lars Van Der Laan, Ahmed Alaa
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models
Keyon Vafa, Peter G. Chang, Ashesh Rambachan et al.
Clustering via Self-Supervised Diffusion
Roy Uziel, Irit Chelly, Oren Freifeld et al.
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
Muhammed Ustaomeroglu, Guannan Qu
Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves
Mykhail Uss, Ruslan Yermolenko, Oleksii Shashko et al.
Does Data Scaling Lead to Visual Compositional Generalization?
Arnas Uselis, Andrea Dittadi, Seong Joon Oh
Online Curvature-Aware Replay: Leveraging $\mathbf2^nd$ Order Information for Online Continual Learning
Edoardo Urettini, Antonio Carta
Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
Soobin Um, Beomsu Kim, Jong Chul Ye
Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features
Daeho Um, Sunoh Kim, Jiwoong Park et al.
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
Masatoshi Uehara, Xingyu Su, Yulai Zhao et al.
Dynamic Sparse Training of Diagonally Sparse Networks
Abhishek Tyagi, Arjun Iyer, William H Renninger et al.
The Batch Complexity of Bandit Pure Exploration
Adrienne Tuynman, Rémy Degenne
SafeArena: Evaluating the Safety of Autonomous Web Agents
Ada Defne Tur, Nicholas Meade, Xing Han Lù et al.
Subgoal-Guided Policy Heuristic Search with Learned Subgoals
Jake Tuero, Michael Buro, Levi Lelis
Ranked from Within: Ranking Large Multimodal Models Without Labels
Weijie Tu, Weijian Deng, Dylan Campbell et al.
On the Impact of Performative Risk Minimization for Binary Random Variables
Nikita Tsoy, Ivan Kirev, Negin Rahimiyazdi et al.
Set Valued Predictions For Robust Domain Generalization
Ron Tsibulsky, Daniel Nevo, Uri Shalit
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
Gabriel Tseng, Anthony Fuller, Marlena Reil et al.
MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners
Fang-Duo Tsai, Shih-Lun Wu, Weijaw Lee et al.
Reliable and Efficient Amortized Model-based Evaluation
Sang T. Truong, Yuheng Tu, Percy Liang et al.
Improving Generalization with Flat Hilbert Bayesian Inference
Tuan Truong, Quyen Tran, Ngoc-Quan Pham et al.
RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts
Tuan Truong, Chau Nguyen, Huy Nguyen et al.