• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 47 matches

• 2023
• 
  Marc T. Law, James Lucas:
  Spacetime Representation Learning. ICLR 2023
• 
  Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
  Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR abs/2309.15123 (2023)
• 
  Patrick J. Lawrence, Xia Ning:
  Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization. CoRR abs/2310.13725 (2023)
• 2022
• 
  Suraj Nair, Eugene Yang, Dawn J. Lawrie, James Mayfield, Douglas W. Oard:
  Learning a Sparse Representation Model for Neural CLIR. DESIRES 2022: 53-64
• 
  Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
  Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. MICCAI (4) 2022: 639-652
• 
  Yanxin Xi, Tong Li, Huandong Wang, Yong Li, Sasu Tarkoma, Pan Hui:
  Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-Interests. WWW 2022: 3308-3316
• 
  Arna Ghosh, Arnab Kumar Mondal, Kumar Krishna Agrawal, Blake A. Richards:
  Investigating Power laws in Deep Representation Learning. CoRR abs/2202.05808 (2022)
• 
  James Chapman, Ana Lawry Aguila, Lennie Wells:
  A Generalized EigenGame with Extensions to Multiview Representation Learning. CoRR abs/2211.11323 (2022)
• 2021
• 
  Felix Järemo Lawin:
  Learning Representations for Segmentation and Registration. Linköping University, Sweden, 2021
• 
  Christos N. Mavridis:
  Learning Latent Representations and Intrinsic Laws of Complex Systems. University of Maryland, College Park, MD, USA, 2021
• 
  Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin:
  Counterfactual Representation Learning with Balancing Weights. AISTATS 2021: 1972-1980
• 
  Patrick J. Lawrence, Xia Ning:
  Improving MHC Class I Antigen Processing Prediction via Representation Learning and Cleavage Site-Specific Kernels. AMIA 2021
• 
  Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve:
  Universal Sentence Representation Learning with Conditional Masked Language Model. EMNLP (1) 2021: 6216-6228
• 
  Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
  Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. ICLR 2021
• 
  Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao:
  Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. NeurIPS 2021: 21229-21243
• 
  Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
  Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning. CoRR abs/2103.09420 (2021)
• 
  Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
  Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. CoRR abs/2105.07059 (2021)
• 
  Burc Gokden:
  Power Law Graph Transformer for Machine Translation and Representation Learning. CoRR abs/2107.02039 (2021)
• 2020
• 
  Benjamin Karg, Sergio Lucia:
  Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning. IEEE Trans. Cybern. 50(9): 3866-3878 (2020)
• 
  Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin:
  Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. ACL 2020: 7530-7541
• 
  Marc T. Law, Jos Stam:
  Ultrahyperbolic Representation Learning. NeurIPS 2020
• 
  Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin:
  Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. CoRR abs/2006.00693 (2020)
• 
  Marc T. Law, Jos Stam:
  Ultrahyperbolic Representation Learning. CoRR abs/2007.00211 (2020)
• 
  Shuxi Zeng, Serge Assaad, Chenyang Tao, Shounak Datta, Lawrence Carin, Fan Li:
  Double Robust Representation Learning for Counterfactual Prediction. CoRR abs/2010.07866 (2020)
• 
  Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin:
  Counterfactual Representation Learning with Balancing Weights. CoRR abs/2010.12618 (2020)
• 
  Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao:
  Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR abs/2011.12454 (2020)
• 
  Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve:
  Universal Sentence Representation Learning with Conditional Masked Language Model. CoRR abs/2012.14388 (2020)
• 2019
• 
  Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
  Learning Compressed Sentence Representations for On-Device Text Processing. ACL (1) 2019: 107-116
• 
  Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu:
  Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity. ICDM 2019: 160-169
• 
  Marc Teva Law, Renjie Liao, Jake Snell, Richard S. Zemel:
  Lorentzian Distance Learning for Hyperbolic Representations. ICML 2019: 3672-3681

skipping 17 more matches