NeurIPS 2022: all accepted papers
- Toward Efficient Robust Training Against Union of lp Threat Models ↗Gaurang Sriramanan, Maharshi Gor, Soheil Feizi
- Towards Optimal Communication Complexity in Distributed Non-Convex Optimization ↗Kumar Kshitij Patel, Lingxiao Wang, Blake Woodworth et al.
- Tractable Optimality in Episodic Latent MABs ↗Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis et al.
- Trading off Image Quality for Robustness is Not Necessary with Regularized Deterministic Autoencoders ↗Amrutha Saseendran, Kathrin Skubch, Stefan Falkner et al.
- Trading off Resource Budgets for Improved Regret Bounds ↗Thomas Orton, Damon Falck
- Training Stochastic Stabilized Supralinear Networks by Dynamics-Neutral Growth ↗Wayne Wah Ming Soo, Máté Lengyel
- TransBoost: Improving the Best ImageNet Performance Using Deep Transduction ↗Omer Belhasin, Guy Bar-Shalom, Ran El‐Yaniv
- Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture ↗Libin Zhu, Chaoyue Liu, Misha Belkin
- Translation-Equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors ↗Wenhao Zhang, Ying Nian Wu, Si Wu
- Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model ↗Pranjal Awasthi, Abhimanyu Das, Weihao Kong et al.
- Truly Deterministic Policy Optimization ↗Ehsan Saleh, Saba Ghaffari, Timothy Bretl et al.
- Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions ↗Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim et al.
- Trustworthy Monte Carlo ↗Juha Harviainen, Mikko Koivisto, Petteri Kaski
- TweetNERD - End to End Entity Linking Benchmark for Tweets ↗Shubhanshu Mishra, Aman Saini, Raheleh Makki et al.
- Two-Layer Neural Network on Infinite Dimensional Data: Global Optimization Guarantee in the Mean-Field Regime ↗Naoki Nishikawa, Taiji Suzuki, Atsushi Nitanda et al.
- UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units ↗Igor Fedorov, Ramon Matas, Hokchhay Tann et al.
- Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game ↗Guiliang Liu, Yudong Luo, Oliver Schulte et al.
- UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification ↗Yanbo Xu, Alind Khare, Glenn Matlin et al.
- Uni[MASK]: Unified Inference in Sequential Decision Problems ↗Micah Carroll, Orr Paradise, Sam Devlin et al.
- Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes ↗Joachim Rubinstein, Benjamin Rubinstein
- Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation ↗Xinhang Liu, Jiaben Chen, Huai Yu et al.
- Uplifting Bandits ↗Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton
- Variable-Rate Hierarchical CPC Leads to Acoustic Unit Discovery in Speech ↗Santiago Cuervo, Adrian Łańcucki, Ricard Marxer et al.
- VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web ↗Andrei Manolache, Florin Brad, Antonio Bărbălau et al.
- ViSioNS: Visual Search in Natural Scenes Benchmark ↗Fermín Travi, Gonzalo Ruarte, Gastón Bujía et al.
- When Are Local Queries Useful for Robust Learning? ↗Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska et al.
- When Are Offline Two-Player Zero-Sum Markov Games Solvable? ↗Qiwen Cui, Simon S. Du
- When to Intervene: Learning Optimal Intervention Policies for Critical Events ↗Niranjan Damera Venkata, Chiranjib Bhattacharyya
- Why Do Artificially Generated Data Help Adversarial Robustness ↗Yue Xing, Qifan Song, Guang Cheng
- XTC: Extreme Compression for Pre-Trained Transformers Made Simple and Efficient ↗Xiaoxia Wu, Zhewei Yao, Minjia Zhang et al.
- Zeroth-Order Hard-Thresholding: Gradient Error Vs. Expansivity ↗William de Vazelhes, Hualin Zhang, Huimin Wu et al.
- Zeroth-Order Negative Curvature Finding: Escaping Saddle Points Without Gradients ↗Hualin Zhang, Huan Xiong, Bin Gu
- Zonotope Domains for Lagrangian Neural Network Verification ↗Matt Jordan, Jonathan Hayase, Alexandros G. Dimakis et al.
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