Papers
Adaptive Interest for Emphatic Reinforcement Learning
Martin Klissarov, Rasool Fakoor, Jonas W Mueller et al.
Adaptively Exploiting d-Separators with Causal Bandits
Blair Bilodeau, Linbo Wang, Dan Roy
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model
Zhisheng Xiao, Tian Han
Adaptive Oracle-Efficient Online Learning
Guanghui Wang, Zihao Hu, Vidya Muthukumar et al.
Adaptive Sampling for Discovery
Ziping Xu, Eunjae Shim, Ambuj Tewari et al.
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
Ali Kavis, Stratis Skoulakis, Kimon Antonakopoulos et al.
A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training
Randall Balestriero, Ishan Misra, Yann LeCun
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments
Eirik Lund Flogard, Ole Jakob Mengshoel
ADBench: Anomaly Detection Benchmark
Songqiao Han, Xiyang Hu, Hailiang Huang et al.
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology
Syed Ashar Javed, Dinkar Juyal, Harshith Padigela et al.
Addressing Leakage in Concept Bottleneck Models
Marton Havasi, Sonali Parbhoo, Finale Doshi-Velez
Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets
Gokul NC, Manideep Ladi, Sumit Negi et al.
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning
Tao Yang, JInghao Deng, Xiaojun Quan et al.
A Deep Learning Dataloader with Shared Data Preparation
jian xie, Jingwei Xu, Guochang Wang et al.
A Deep Reinforcement Learning Framework for Column Generation
Cheng Chi, Amine Aboussalah, Elias Khalil et al.
A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval
Hao Li, Jingkuan Song, Lianli Gao et al.
A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem
Bar Mahpud, Or Sheffet
A Direct Approximation of AIXI Using Logical State Abstractions
Samuel Yang-Zhao, Tianyu Wang, Kee Siong Ng
Adjoint-aided inference of Gaussian process driven differential equations
Paterne GAHUNGU, Christopher Lanyon, Mauricio A Álvarez et al.
Advancing Model Pruning via Bi-level Optimization
Yihua Zhang, Yuguang Yao, Parikshit Ram et al.
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
Shuai Jia, Bangjie Yin, Taiping Yao et al.
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
Sizhe Chen, Zhehao Huang, Qinghua Tao et al.
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang, Yanchao Sun, Jiahao Su et al.
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
Omar Montasser, Steve Hanneke, Nati Srebro
Adversarial Reprogramming Revisited
Matthias Englert, Ranko Lazic