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期刊&会议

International Conference on Learning Representations · 会议 · Machine Learning

共收录 9454
2310.02391 2024-04-12 cs.LG cs.AI

SE(3)-Stochastic Flow Matching for Protein Backbone Generation

Avishek Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet, Kilian Fatras, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael Bronstein, Alexander Tong

Comments ICLR 2024 Spotlight

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2308.15321 2024-04-12 cs.LG cs.AI cs.CV

Elucidating the Exposure Bias in Diffusion Models

Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Onal Ertugrul

Comments ICLR 2024

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2305.19521 2024-04-12 cs.LG cs.CR cs.PL

Incremental Randomized Smoothing Certification

Shubham Ugare, Tarun Suresh, Debangshu Banerjee, Gagandeep Singh, Sasa Misailovic

Comments ICLR 2024

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2404.07148 2024-04-11 cs.LG cs.HC

How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models

Unnseo Park, Venkatesh Sivaraman, Adam Perer

Comments 6 pages, 3 figures; accepted workshop paper at Time Series for Health @ ICLR 2024

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2310.17256 2024-04-11 cs.LG

fairret: a Framework for Differentiable Fairness Regularization Terms

Maarten Buyl, MaryBeth Defrance, Tijl De Bie

Comments Presented at ICLR 2024

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2310.11230 2024-04-11 eess.AS cs.LG cs.SD

Zipformer: A faster and better encoder for automatic speech recognition

Zengwei Yao, Liyong Guo, Xiaoyu Yang, Wei Kang, Fangjun Kuang, Yifan Yang, Zengrui Jin, Long Lin, Daniel Povey

Comments Published as a conference paper at ICLR 2024

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2310.05910 2024-04-11 cs.CL cs.AI cs.LG

SALMON: Self-Alignment with Instructable Reward Models

Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Cox, Yiming Yang, Chuang Gan

Comments Previous Title: SALMON: Self-Alignment with Principle-Following Reward Models. Accepted to ICLR 2024. Project page: https://github.com/IBM/SALMON

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2307.07218 2024-04-11 eess.AS cs.SD

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis

Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Zhenhui Ye, Shengpeng Ji, Qian Yang, Chen Zhang, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao

Comments Accepted by ICLR 2024

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2306.00977 2024-04-11 cs.CV cs.HC

AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation

Yuanwen Yue, Sabarinath Mahadevan, Jonas Schult, Francis Engelmann, Bastian Leibe, Konrad Schindler, Theodora Kontogianni

Comments ICLR 2024 camera-ready. Project page: https://ywyue.github.io/AGILE3D

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2301.12811 2024-04-11 cs.LG

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer

Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji

Comments 34 pages with 17 figures, accepted for publication in ICLR 2024

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2204.11144 2024-04-11 cs.LG cs.MA cs.NA math.NA math.OC

Competitive Physics Informed Networks

Qi Zeng, Yash Kothari, Spencer H. Bryngelson, Florian Schäfer

Journal ref ICLR (2023); https://openreview.net/forum?id=z9SIj-IM7tn

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2404.06517 2024-04-11 physics.comp-ph cs.CV cs.LG physics.ao-ph stat.ML

DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations

Jason Stock, Jaideep Pathak, Yair Cohen, Mike Pritchard, Piyush Garg, Dale Durran, Morteza Mardani, Noah Brenowitz

Comments Published as a workshop paper at "Tackling Climate Change with Machine Learning", ICLR 2024

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2310.04562 2024-04-11 cs.CL cs.AI

Towards Foundation Models for Knowledge Graph Reasoning

Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu

Comments ICLR 2024

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2112.15275 2024-04-11 physics.flu-dyn cs.LG physics.comp-ph

Learned Coarse Models for Efficient Turbulence Simulation

Kimberly Stachenfeld, Drummond B. Fielding, Dmitrii Kochkov, Miles Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter Battaglia, Alvaro Sanchez-Gonzalez

Journal ref (2022) International Conference on Learning Representations

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2404.06481 2024-04-10 q-bio.BM cs.LG

GeoDirDock: Guiding Docking Along Geodesic Paths

Raúl Miñán, Javier Gallardo, Álvaro Ciudad, Alexis Molina

Comments Generative and Experimental Perspectives for Biomolecular Design Workshop at ICLR 2024

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2311.16026 2024-04-10 cs.LG stat.ML

A Neural Framework for Generalized Causal Sensitivity Analysis

Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar

Comments Accepted at ICLR 2024

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2311.12570 2024-04-10 q-bio.GN cs.LG

BEND: Benchmarking DNA Language Models on biologically meaningful tasks

Frederikke Isa Marin, Felix Teufel, Marc Horlacher, Dennis Madsen, Dennis Pultz, Ole Winther, Wouter Boomsma

Comments 9 pages, 1 figure, 3 tables, code available at https://github.com/frederikkemarin/BEND, to be published in ICLR 2024

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2310.19698 2024-04-10 cs.LG cs.CL

When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Aleksandar Petrov, Philip H. S. Torr, Adel Bibi

Comments Accepted at ICLR 2024

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2307.03108 2024-04-10 cs.CV cs.CR cs.LG

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma

Comments ICLR 2024

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2305.18171 2024-04-10 cs.CV cs.LG

Improved Probabilistic Image-Text Representations

Sanghyuk Chun

Comments ICLR 2024 camera-ready; Code: https://github.com/naver-ai/pcmepp. Project page: https://naver-ai.github.io/pcmepp/. 30 pages, 2.2 MB

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2305.15215 2024-04-10 cs.LG

Shadow Cones: A Generalized Framework for Partial Order Embeddings

Tao Yu, Toni J. B. Liu, Albert Tseng, Christopher De Sa

Comments ICLR 2024

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2404.05639 2024-04-09 cs.LG cs.AI cs.CR

Investigating the Impact of Quantization on Adversarial Robustness

Qun Li, Yuan Meng, Chen Tang, Jiacheng Jiang, Zhi Wang

Comments Accepted to ICLR 2024 Workshop PML4LRS

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2404.05440 2024-04-09 cs.AI cs.LG

Tree Search-Based Policy Optimization under Stochastic Execution Delay

David Valensi, Esther Derman, Shie Mannor, Gal Dalal

Comments Published in ICLR 2024

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2402.03992 2024-04-09 cs.LG cond-mat.mtrl-sci

Space Group Constrained Crystal Generation

Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu

Comments ICLR 2024 poster

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2309.02214 2024-04-09 cs.LG cs.AI cs.NE

Improving equilibrium propagation without weight symmetry through Jacobian homeostasis

Axel Laborieux, Friedemann Zenke

Comments ICLR 2024

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2404.05163 2024-04-09 cs.CV

Semantic Flow: Learning Semantic Field of Dynamic Scenes from Monocular Videos

Fengrui Tian, Yueqi Duan, Angtian Wang, Jianfei Guo, Shaoyi Du

Comments Accepted by ICLR 2024, Codes are available at https://github.com/tianfr/Semantic-Flow/

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2404.04969 2024-04-09 cs.LG cs.AI

Temporal Generalization Estimation in Evolving Graphs

Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang

Comments Published as a conference paper at ICLR 2024

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2404.04759 2024-04-09 cs.CL cs.LG

What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models

Busayo Awobade, Mardiyyah Oduwole, Steven Kolawole

Comments AfricaNLP workshop at ICLR 2024

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2404.04682 2024-04-09 cs.LG cs.AI cs.RO

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning

Yeda Song, Dongwook Lee, Gunhee Kim

Comments ICLR 2024

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2404.04615 2024-04-09 physics.flu-dyn cs.AI cs.LG

PointSAGE: Mesh-independent superresolution approach to fluid flow predictions

Rajat Sarkar, Krishna Sai Sudhir Aripirala, Vishal Sudam Jadhav, Sagar Srinivas Sakhinana, Venkataramana Runkana

Comments Accepted at Data-Centric Machine Learning Workshop (DMLR) at ICLR, 2024

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