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NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17336
2211.10237 2022-11-21 cs.RO cs.AI cs.LG

Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator

Ho Suk, Taewoo Kim, Hyungbin Park, Pamul Yadav, Junyong Lee, Shiho Kim

Comments 9 pages including appendices, 4 figures, NeurIPS 2022 Workshop: Machine Learning for Autonomous Driving (ML4AD)

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2211.10168 2022-11-21 cs.LG cs.RO

Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action Corrections

Frank Röder, Manfred Eppe

Comments Accepted to the 2nd Workshop on Language in Reinforcement Learning, (NeurIPS 2022)

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2211.10000 2022-11-21 cs.LG q-bio.GN

Protein language model rescue mutations highlight variant effects and structure in clinically relevant genes

Onuralp Soylemez, Pablo Cordero

Comments NeurIPS 2022, Workshop on Learning Meaningful Representations of Life

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2211.09992 2022-11-21 cs.CV cs.AI cs.LG

Look More but Care Less in Video Recognition

Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu

Comments Accepted by NeurIPS 2022

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2211.09961 2022-11-21 cs.LG stat.ML

Path Independent Equilibrium Models Can Better Exploit Test-Time Computation

Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, Zico Kolter, Roger Grosse

Comments NeurIPS 2022

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2211.09960 2022-11-21 cs.CV cs.AI

Ask4Help: Learning to Leverage an Expert for Embodied Tasks

Kunal Pratap Singh, Luca Weihs, Alvaro Herrasti, Jonghyun Choi, Aniruddha Kemhavi, Roozbeh Mottaghi

Comments Accepted at NeurIPS, 2022

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2211.09927 2022-11-21 cs.CV eess.IV eess.SP

SAR-based landslide classification pretraining leads to better segmentation

Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan

Comments Accepted to the NeurIPS 2022 workshop Artificial Intelligence for Humanitarian Assistance and Disaster Response. This research was conducted as part of the Frontier Development Lab (FDL) 2022

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2211.08883 2022-11-21 stat.ML cs.LG

Identifying the Causes of Pyrocumulonimbus (PyroCb)

Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert

Comments 14 pages 9 figures. To be published in the 2022 NeurIPS Workshop on Causal Machine Learning for Real-World Impact

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2211.07627 2022-11-21 cs.LG cs.AI

Redeeming Intrinsic Rewards via Constrained Optimization

Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal

Comments NeurIPS 2022

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2210.12218 2022-11-21 cs.NI cs.DC

SEIFER: Scalable Edge Inference for Deep Neural Networks

Arjun Parthasarathy, Bhaskar Krishnamachari

Comments Accepted to the "Challenges in Deploying and Monitoring ML Systems" Workshop of NeurIPS 2022

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2209.11497 2022-11-21 cs.LG stat.ME

Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions

Violeta Teodora Trifunov, Maha Shadaydeh, Joachim Denzler

Comments "A causal view on dynamical systems" Workshop at NeurIPS 2022

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2206.07643 2022-11-21 cs.CV cs.CL cs.LG

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone

Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang

Comments NeurIPS 2022. Project Website: https://ashkamath.github.io/FIBER_page

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2001.03908 2022-11-21 eess.SY cs.RO cs.SY

Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles

Il Bae, Jaeyoung Moon, Junekyo Jhung, Ho Suk, Taewoo Kim, Hyungbin Park, Jaekwang Cha, Jinhyuk Kim, Dohyun Kim, Shiho Kim

Comments 8 pages, 9 figures, NeurIPS 2019 Workshop: Machine Learning for Autonomous Driving (ML4AD)

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2211.09912 2022-11-21 hep-ex cs.LG hep-ph

Do graph neural networks learn traditional jet substructure?

Farouk Mokhtar, Raghav Kansal, Javier Duarte

Comments 5 pages, 4 figures. Accepted to Machine Learning for Physical Sciences NeurIPS 2022 workshop

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2211.09862 2022-11-21 q-bio.GN cs.LG

Knowledge distillation for fast and accurate DNA sequence correction

Anastasiya Belyaeva, Joel Shor, Daniel E. Cook, Kishwar Shafin, Daniel Liu, Armin Töpfer, Aaron M. Wenger, William J. Rowell, Howard Yang, Alexey Kolesnikov, Cory Y. McLean, Maria Nattestad, Andrew Carroll, Pi-Chuan Chang

Journal ref Learning Meaningful Representations of Life, NeurIPS 2022 workshop oral paper

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2211.09817 2022-11-21 cs.LG stat.ML

On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning

Shiro Takagi

Comments 48 pages. Published in NeurIPS 2022

Journal ref Advances in Neural Information Processing Systems 36 (NeurIPS 2022)

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2211.09731 2022-11-18 cs.CL cs.LG cs.SD eess.AS

Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speech

Xin Zhang, Iván Vallés-Pérez, Andreas Stolcke, Chengzhu Yu, Jasha Droppo, Olabanji Shonibare, Roberto Barra-Chicote, Venkatesh Ravichandran

Comments 8 pages, 3 figures, 2 tables

Journal ref NeurIPS Workshop on SyntheticData4ML, December 2022

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2211.09727 2022-11-18 cond-mat.mtrl-sci cs.CV cs.LG eess.IV

A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models

Devesh Shah, Anirudh Suresh, Alemayehu Admasu, Devesh Upadhyay, Kalyanmoy Deb

Comments Accepted in Neural Information Processing Systems (NeurIPS) 2022 Workshop on AI for Accelerated Materials Design (AI4Mat). Selected as spotlight paper for workshop

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2211.09678 2022-11-18 cs.LG

Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis

Carolin Benjamins, Anja Jankovic, Elena Raponi, Koen van der Blom, Marius Lindauer, Carola Doerr

Comments 6th Workshop on Meta-Learning at NeurIPS 2022, New Orleans

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2211.09664 2022-11-18 cs.SI cs.AI cs.LG

Influencer Detection with Dynamic Graph Neural Networks

Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Hernan Garcia, Alejandro Correa Bahnsen, Bart Baesens, Monique Snoeck, Cristián Bravo

Comments Conference workshop camera-ready paper - accepted at NeurIPS TGL 2022. 8 pages, 4 figures

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2211.09646 2022-11-18 cs.CV

Language Conditioned Spatial Relation Reasoning for 3D Object Grounding

Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev

Comments Accepted in NeurIPS 2022; Project website: https://cshizhe.github.io/projects/vil3dref.html

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2211.09527 2022-11-18 cs.CL cs.AI

Ignore Previous Prompt: Attack Techniques For Language Models

Fábio Perez, Ian Ribeiro

Comments ML Safety Workshop NeurIPS 2022

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2211.09440 2022-11-18 cs.NE cs.LG

Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks

Kazuki Irie, Jürgen Schmidhuber

Comments Presented at NeurIPS 2022 Workshop on Memory in Artificial and Real Intelligence

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2211.09342 2022-11-18 cs.CV cs.AI

I see you: A Vehicle-Pedestrian Interaction Dataset from Traffic Surveillance Cameras

Hanan Quispe, Jorshinno Sumire, Patricia Condori, Edwin Alvarez, Harley Vera

Comments paper accepted at LXAI workshop at NeurIPS 2022, github repository https://github.com/hvzzzz/Vehicle_Trajectory_Dataset

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2211.09300 2022-11-18 astro-ph.IM stat.AP stat.ML

Statistical Inference for Coadded Astronomical Images

Mallory Wang, Ismael Mendoza, Cheng Wang, Camille Avestruz, Jeffrey Regier

Comments Accepted to the NeurIPS 2022 Machine Learning and the Physical Sciences workshop. 6 pages, 2 figures

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2211.09238 2022-11-18 cs.LG

Learning unfolded networks with a cyclic group structure

Emmanouil Theodosis, Demba Ba

Comments Accepted as an extended abstract in NeurIPS Workshop on Symmetry and Geometry in Neural Representations

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2207.06190 2022-11-18 cs.LG cs.AI

Simulation-guided Beam Search for Neural Combinatorial Optimization

Jinho Choo, Yeong-Dae Kwon, Jihoon Kim, Jeongwoo Jae, André Hottung, Kevin Tierney, Youngjune Gwon

Comments Accepted at NeurIPS 2022

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2205.13636 2022-11-18 cs.CL cs.LG

Quark: Controllable Text Generation with Reinforced Unlearning

Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi

Journal ref NeurIPS 2022 (Oral Selection)

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2205.05055 2022-11-18 cs.LG cs.AI cs.CL

Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Stephanie C. Y. Chan, Adam Santoro, Andrew K. Lampinen, Jane X. Wang, Aaditya Singh, Pierre H. Richemond, Jay McClelland, Felix Hill

Comments Accepted at NeurIPS 2022 (Oral). Code is available at: https://github.com/deepmind/emergent_in_context_learning

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2211.09096 2022-11-17 q-bio.NC cs.AI cs.LG q-bio.QM

Testing geometric representation hypotheses from simulated place cell recordings

Thibault Niederhauser, Adam Lester, Nina Miolane, Khanh Dao Duc, Manu S. Madhav

Comments NeurIPS 2022: NeurReps workshop, extended abstract track

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