Papers
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti Lnu et al.
Automatic differentiation of nonsmooth iterative algorithms
Jerome Bolte, Edouard Pauwels, Samuel Vaiter
Automatic Differentiation of Programs with Discrete Randomness
Gaurav Arya, Moritz Schauer, Frank Schäfer et al.
AutoML Two-Sample Test
Jonas M. Kübler, Vincent Stimper, Simon Buchholz et al.
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control
Yifan Zhang, Haiyan Jiang, Haojie Ren et al.
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning
Lijun Zhang, Xiao Liu, Hui Guan
Autoregressive Perturbations for Data Poisoning
Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping et al.
Autoregressive Search Engines: Generating Substrings as Document Identifiers
Michele Bevilacqua, Giuseppe Ottaviano, Patrick Lewis et al.
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences
Jianxin Li, Shuai Zhang, Hui Xiong et al.
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Nicholas Roberts, Xintong Li, Tzu-Heng Huang et al.
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds
Joshua Albrecht, Abraham Fetterman, Bryden Fogelman et al.
A Variant of Anderson Mixing with Minimal Memory Size
Fuchao Wei, Chenglong Bao, Yang Liu et al.
A Variational Edge Partition Model for Supervised Graph Representation Learning
Yilin He, Chaojie Wang, Hao Zhang et al.
Average Sensitivity of Euclidean k-Clustering
Yuichi Yoshida, Shinji Ito
AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments
Sudipta Paul, Amit Roy-Chowdhury, Anoop Cherian
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
Yuanxin Liu, Fandong Meng, Zheng Lin et al.
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs
Daniele Zambon, Cesare Alippi
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
Baoyuan Wu, Hongrui Chen, Mingda Zhang et al.
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation
Ziyu Jiang, Xuxi Chen, Xueqin Huang et al.
BadPrompt: Backdoor Attacks on Continuous Prompts
Xiangrui Cai, Haidong Xu, Sihan Xu et al.
BagFlip: A Certified Defense Against Data Poisoning
Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
Hui Yuan, Chengzhuo Ni, Huazheng Wang et al.
Batch Bayesian optimisation via density-ratio estimation with guarantees
Rafael Oliveira, Louis Tiao, Fabio T Ramos
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
Changyong Oh, Roberto Bondesan, Efstratios Gavves et al.
Batch Multi-Fidelity Active Learning with Budget Constraints
Shibo Li, Jeff M Phillips, Xin Yu et al.