Papers
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy
Amit Daniely, Nati Srebro, Gal Vardi
Computational Guarantees for Doubly Entropic Wasserstein Barycenters
Tomas Vaskevicius, Lénaïc Chizat
Computing a human-like reaction time metric from stable recurrent vision models
Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok et al.
Computing Approximate $\ell_p$ Sensitivities
Swati Padmanabhan, David Woodruff, Richard Zhang
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
Brian Zhang, Gabriele Farina, Ioannis Anagnostides et al.
Computing Optimal Nash Equilibria in Multiplayer Games
Youzhi Zhang, Bo An, Venkatramanan Subrahmanian
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
Chenyang Le, Yao Qian, Long Zhou et al.
Concept Algebra for (Score-Based) Text-Controlled Generative Models
Zihao Wang, Lin Gui, Jeffrey Negrea et al.
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
Avani Gupta, Saurabh Saini, P J Narayanan
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
Lunhao Duan, Shanshan Zhao, Nan Xue et al.
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
Tao Lei, Junwen Bai, Siddhartha Brahma et al.
Conditional independence testing under misspecified inductive biases
Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee
Conditional Matrix Flows for Gaussian Graphical Models
Marcello Massimo Negri, Fabricio Arend Torres, Volker Roth
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Mhairi Dunion, Trevor McInroe, Kevin Luck et al.
Conditional score-based diffusion models for Bayesian inference in infinite dimensions
Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier et al.
Conditional Score Guidance for Text-Driven Image-to-Image Translation
Hyunsoo Lee, Minsoo Kang, Bohyung Han
Coneheads: Hierarchy Aware Attention
Albert Tseng, Tao Yu, Toni Liu et al.
Conformalized matrix completion
Yu Gui, Rina Barber, Cong Ma
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
Ahmed M. Alaa, Zaid Ahmad, Mark van der Laan
Conformal PID Control for Time Series Prediction
Anastasios Angelopoulos, Emmanuel Candes, Ryan J Tibshirani
Conformal Prediction for Time Series with Modern Hopfield Networks
Andreas Auer, Martin Gauch, Daniel Klotz et al.
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
Jiankai Sun, Yiqi Jiang, Jianing Qiu et al.
Conformal Prediction Sets for Ordinal Classification
Prasenjit Dey, Srujana Merugu, Sivaramakrishnan R Kaveri
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems
Sihan Zeng, Thinh Doan, Justin Romberg
Connecting Certified and Adversarial Training
Yuhao Mao, Mark Müller, Marc Fischer et al.