Papers
11,955 papers found
Autonomous Reinforcement Learning: Formalism and Benchmarking
Archit Sharma, Kelvin Xu, Nikhil Sardana et al.
Autoregressive Diffusion Models
Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings et al.
Autoregressive Quantile Flows for Predictive Uncertainty Estimation
Phillip Si, Allan Bishop, Volodymyr Kuleshov
Auto-scaling Vision Transformers without Training
Wuyang Chen, Wei Huang, Xianzhi Du et al.
Auto-Transfer: Learning to Route Transferable Representations
Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss et al.
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
Mark Hamilton, Scott Lundberg, Stephanie Fu et al.
A Zest of LIME: Towards Architecture-Independent Model Distances
Hengrui Jia, Hongyu Chen, Jonas Guan et al.
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash
Backdoor Defense via Decoupling the Training Process
Kunzhe Huang, Yiming Li, Baoyuan Wu et al.
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models
Kangjie Chen, Yuxian Meng, Xiaofei Sun et al.
Bag of Instances Aggregation Boosts Self-supervised Distillation
Haohang Xu, Jiemin Fang, XIAOPENG ZHANG et al.
BAM: Bayes with Adaptive Memory
Josue Nassar, Jennifer Rogers Brennan, Ben Evans et al.
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences
Tianchen Zhou, Jia Liu, Chaosheng Dong et al.
Bayesian Framework for Gradient Leakage
Mislav Balunovic, Dimitar Iliev Dimitrov, Robin Staab et al.
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How
Yuning You, Yue Cao, Tianlong Chen et al.
Bayesian Neural Network Priors Revisited
Vincent Fortuin, Adrià Garriga-Alonso, Sebastian W. Ober et al.
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis
Max W. Y. Lam, Jun Wang, Dan Su et al.
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao, Li Dong, Songhao Piao et al.
Benchmarking the Spectrum of Agent Capabilities
Danijar Hafner
Better Supervisory Signals by Observing Learning Paths
Yi Ren, Shangmin Guo, Danica J. Sutherland
Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature
Cynthia Dwork, Michael P. Kim, Omer Reingold et al.
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
Qilong Zhang, Xiaodan Li, YueFeng Chen et al.
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits
Yifei Wang, Tavor Baharav, Yanjun Han et al.
BiBERT: Accurate Fully Binarized BERT
Haotong Qin, Yifu Ding, Mingyuan Zhang et al.
Bi-linear Value Networks for Multi-goal Reinforcement Learning
Zhang-Wei Hong, Ge Yang, Pulkit Agrawal