--- title: "NeurIPS 2022 — all accepted papers, page 29 — Elamur Research" description: "All 2,834 papers of NeurIPS 2022 · page 29 of 29, the most cited first; those with our summary link to it." canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/29/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/29/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / [2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/) / [papers](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/) / page 29 # NeurIPS 2022: all accepted papers 2,834 papers · page 29 of 29 · the most cited first · [← NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/) [← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/28/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/) … [20](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/20/) … [28](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/28/) **29** 2801. **[Toward Efficient Robust Training Against Union of lp Threat Models ↗](https://doi.org/10.52202/068431-1876)**Gaurang Sriramanan, Maharshi Gor, Soheil Feizi 2802. **[Towards Optimal Communication Complexity in Distributed Non-Convex Optimization ↗](https://doi.org/10.52202/068431-0968)**Kumar Kshitij Patel, Lingxiao Wang, Blake Woodworth et al. 2803. **[Tractable Optimality in Episodic Latent MABs ↗](https://doi.org/10.52202/068431-1717)**Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis et al. 2804. **[Trading off Image Quality for Robustness is Not Necessary with Regularized Deterministic Autoencoders ↗](https://doi.org/10.52202/068431-1940)**Amrutha Saseendran, Kathrin Skubch, Stefan Falkner et al. 2805. **[Trading off Resource Budgets for Improved Regret Bounds ↗](https://doi.org/10.52202/068431-0547)**Thomas Orton, Damon Falck 2806. **[Training Stochastic Stabilized Supralinear Networks by Dynamics-Neutral Growth ↗](https://doi.org/10.52202/068431-2123)**Wayne Wah Ming Soo, Máté Lengyel 2807. **[TransBoost: Improving the Best ImageNet Performance Using Deep Transduction ↗](https://doi.org/10.52202/068431-2056)**Omer Belhasin, Guy Bar-Shalom, Ran El‐Yaniv 2808. **[Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture ↗](https://doi.org/10.52202/068431-0387)**Libin Zhu, Chaoyue Liu, Misha Belkin 2809. **[Translation-Equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors ↗](https://doi.org/10.52202/068431-1147)**Wenhao Zhang, Ying Nian Wu, Si Wu 2810. **[Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model ↗](https://doi.org/10.52202/068431-0063)**Pranjal Awasthi, Abhimanyu Das, Weihao Kong et al. 2811. **[Truly Deterministic Policy Optimization ↗](https://doi.org/10.52202/068431-0616)**Ehsan Saleh, Saba Ghaffari, Timothy Bretl et al. 2812. **[Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions ↗](https://doi.org/10.52202/068431-1438)**Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim et al. 2813. **[Trustworthy Monte Carlo ↗](https://doi.org/10.52202/068431-1387)**Juha Harviainen, Mikko Koivisto, Petteri Kaski 2814. **[TweetNERD - End to End Entity Linking Benchmark for Tweets ↗](https://doi.org/10.52202/068431-0104)**Shubhanshu Mishra, Aman Saini, Raheleh Makki et al. 2815. **[Two-Layer Neural Network on Infinite Dimensional Data: Global Optimization Guarantee in the Mean-Field Regime ↗](https://doi.org/10.52202/068431-2363)**Naoki Nishikawa, Taiji Suzuki, Atsushi Nitanda et al. 2816. **[UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units ↗](https://doi.org/10.52202/068431-1341)**Igor Fedorov, Ramon Matas, Hokchhay Tann et al. 2817. **[Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game ↗](https://doi.org/10.52202/068431-1470)**Guiliang Liu, Yudong Luo, Oliver Schulte et al. 2818. **[UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification ↗](https://doi.org/10.52202/068431-0332)**Yanbo Xu, Alind Khare, Glenn Matlin et al. 2819. **[UniMASK: Unified Inference in Sequential Decision Problems ↗](https://doi.org/10.52202/068431-2563)**Micah Carroll, Orr Paradise, Sam Devlin et al. 2820. **[Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes ↗](https://doi.org/10.52202/068431-0950)**Joachim Rubinstein, Benjamin Rubinstein 2821. **[Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation ↗](https://doi.org/10.52202/068431-1289)**Xinhang Liu, Jiaben Chen, Huai Yu et al. 2822. **[Uplifting Bandits ↗](https://doi.org/10.52202/068431-1625)**Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton 2823. **[Variable-Rate Hierarchical CPC Leads to Acoustic Unit Discovery in Speech ↗](https://doi.org/10.52202/068431-2536)**Santiago Cuervo, Adrian Łańcucki, Ricard Marxer et al. 2824. **[VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web ↗](https://doi.org/10.52202/068431-1133)**Andrei Manolache, Florin Brad, Antonio Bărbălau et al. 2825. **[ViSioNS: Visual Search in Natural Scenes Benchmark ↗](https://doi.org/10.52202/068431-0871)**Fermín Travi, Gonzalo Ruarte, Gastón Bujía et al. 2826. **[When Are Local Queries Useful for Robust Learning? ↗](https://doi.org/10.52202/068431-2458)**Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska et al. 2827. **[When Are Offline Two-Player Zero-Sum Markov Games Solvable? ↗](https://doi.org/10.52202/068431-1869)**Qiwen Cui, Simon S. Du 2828. **[When Combinatorial Thompson Sampling Meets Approximation Regret ↗](https://doi.org/10.52202/068431-1282)**Pierre Perrault 2829. **[When to Intervene: Learning Optimal Intervention Policies for Critical Events ↗](https://doi.org/10.52202/068431-2183)**Niranjan Damera Venkata, Chiranjib Bhattacharyya 2830. **[Why Do Artificially Generated Data Help Adversarial Robustness ↗](https://doi.org/10.52202/068431-0070)**Yue Xing, Qifan Song, Guang Cheng 2831. **[XTC: Extreme Compression for Pre-Trained Transformers Made Simple and Efficient ↗](https://doi.org/10.52202/068431-0233)**Xiaoxia Wu, Zhewei Yao, Minjia Zhang et al. 2832. **[Zeroth-Order Hard-Thresholding: Gradient Error Vs. Expansivity ↗](https://doi.org/10.52202/068431-1641)**William de Vazelhes, Hualin Zhang, Huimin Wu et al. 2833. **[Zeroth-Order Negative Curvature Finding: Escaping Saddle Points Without Gradients ↗](https://doi.org/10.52202/068431-2777)**Hualin Zhang, Huan Xiong, Bin Gu 2834. **[Zonotope Domains for Lagrangian Neural Network Verification ↗](https://doi.org/10.52202/068431-0611)**Matt Jordan, Jonathan Hayase, Alexandros G. Dimakis et al. [← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/28/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/) … [20](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/20/) … [28](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/28/) **29** - [← back to](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/) — NeurIPS 2022