conftrace_

Papers

11,015 papers found
What does the Knowledge Neuron Thesis Have to do with Knowledge?
Jingcheng Niu, Andrew Liu, Zining Zhu et al.
2024 ICLR
What Matters to You? Towards Visual Representation Alignment for Robot Learning
Thomas Tian, Chenfeng Xu, Masayoshi Tomizuka et al.
2024 ICLR
What's in a Prior? Learned Proximal Networks for Inverse Problems
Zhenghan Fang, Sam Buchanan, Jeremias Sulam
2024 ICLR
What's In My Big Data?
Yanai Elazar, Akshita Bhagia, Ian Helgi Magnusson et al.
2024 ICLR
When can transformers reason with abstract symbols?
Enric Boix-Adserà, Omid Saremi, Emmanuel Abbe et al.
2024 ICLR
2024 ICLR
2024 ICLR
When should we prefer Decision Transformers for Offline Reinforcement Learning?
Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard et al.
2024 ICLR
2024 ICLR
Why is SAM Robust to Label Noise?
Christina Baek, J Zico Kolter, Aditi Raghunathan
2024 ICLR
WildChat: 1M ChatGPT Interaction Logs in the Wild
Wenting Zhao, Xiang Ren, Jack Hessel et al.
2024 ICLR
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
Katja Schwarz, Seung Wook Kim, Jun Gao et al.
2024 ICLR
Window Attention is Bugged: How not to Interpolate Position Embeddings
Daniel Bolya, Chaitanya Ryali, Judy Hoffman et al.
2024 ICLR
Win-Win: Training High-Resolution Vision Transformers from Two Windows
Vincent Leroy, Jerome Revaud, Thomas Lucas et al.
2024 ICLR
Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models
Pablo Pernias, Dominic Rampas, Mats Leon Richter et al.
2024 ICLR
Xformer: Hybrid X-Shaped Transformer for Image Denoising
Jiale Zhang, Yulun Zhang, Jinjin Gu et al.
2024 ICLR
YaRN: Efficient Context Window Extension of Large Language Models
Bowen Peng, Jeffrey Quesnelle, Honglu Fan et al.
2024 ICLR
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
Robin van de Water, Hendrik Nils Aurel Schmidt, Paul Elbers et al.
2024 ICLR