Papers
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search
Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik
A Path to Simpler Models Starts With Noise
Lesia Semenova, Harry Chen, Ronald Parr et al.
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
Valeriia Cherepanova, Roman Levin, Gowthami Somepalli et al.
A polar prediction model for learning to represent visual transformations
Pierre-Étienne Fiquet, Eero P. Simoncelli
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders
Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi et al.
Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
Kruno Lehman, Alain Durmus, Umut Simsekli
Approximate inference of marginals using the IBIA framework
Shivani Bathla, Vinita Vasudevan
Approximately Equivariant Graph Networks
Ningyuan Huang, Ron Levie, Soledad Villar
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Mircea Petrache, Shubhendu Trivedi
A Privacy-Friendly Approach to Data Valuation
Jiachen (Tianhao) Wang, Yuqing Zhu, Yu-Xiang Wang et al.
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
AQuA: A Benchmarking Tool for Label Quality Assessment
Mononito Goswami, Vedant Sanil, Arjun Choudhry et al.
A Randomized Approach to Tight Privacy Accounting
Jiachen (Tianhao) Wang, Saeed Mahloujifar, Tong Wu et al.
Arbitrarily Scalable Environment Generators via Neural Cellular Automata
Yulun Zhang, Matthew Fontaine, Varun Bhatt et al.
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
Xiaojun Guo, Yifei Wang, Zeming Wei et al.
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Tong Wu, Zhihao Fan, Xiao Liu et al.
Are aligned neural networks adversarially aligned?
Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo et al.
A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation
Junfeng Zuo, Xiao Liu, Ying Nian Wu et al.
Are Diffusion Models Vision-And-Language Reasoners?
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti et al.
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
Yunchang Yang, Han Zhong, Tianhao Wu et al.
Are Emergent Abilities of Large Language Models a Mirage?
Rylan Schaeffer, Brando Miranda, Sanmi Koyejo
Are GATs Out of Balance?
Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
Matthew Bendel, Rizwan Ahmad, Philip Schniter
Are These the Same Apple? Comparing Images Based on Object Intrinsics
Klemen Kotar, Stephen Tian, Hong-Xing Yu et al.
Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
Lalit Pandey, Samantha Wood, Justin Wood