Elamur Research⌕
☰
home / venues / ICLR / 2020 / papers / page 2

ICLR 2020: all accepted papers

150 papers · page 2 of 2 · the most cited first · ← ICLR 2020

1 2

  1. SVQN: Sequential Variational Soft Q-Learning Networks ↗Shiyu Huang, Hang Su, Jun Zhu et al.7 citations
  2. AMRL: Aggregated Memory For Reinforcement Learning ↗Jacob Beck, Kamil Ciosek, Sam Devlin et al.6 citations
  3. Towards Verified Robustness under Text Deletion Interventions ↗Johannes Welbl, Po-Sen Huang, Robert Stanforth et al.6 citations
  4. Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth ↗Igor Lovchinsky, Alon Daks, Israel Malkin et al.5 citations
  5. Self-Supervised Learning of Appliance Usage ↗Chen-Yu Hsu, Abbas Zeitoun, Guang-He Lee et al.5 citations
  6. Solving ODE with Universal Flows: Approximation Theory for Flow-Based Models ↗Chin-Wei Huang, Laurent Dinh, Aaron C. Courville5 citations
  7. Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness ↗Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou et al.5 citations
  8. Urban air pollution forecasts generated from latent space representation ↗César Quilodrán-Casas, Rossella Arcucci, Yike Guo5 citations
  9. Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks ↗Arsalan Sharifnassab, Saber Salehkaleybar, S. Jamaloddin Golestani4 citations
  10. Learning Efficient Parameter Server Synchronization Policies for Distributed SGD ↗Rong Zhu, Sheng Yang, Andreas Pfadler et al.4 citations
  11. Learning Expensive Coordination: An Event-Based Deep RL Approach ↗Zhenyu Shi, Runsheng Yu, Xinrun Wang et al.4 citations
  12. Learning the Arrow of Time for Problems in Reinforcement Learning ↗Nasim Rahaman, Steffen Wolf, Anirudh Goyal et al.4 citations
  13. Neural Epitome Search for Architecture-Agnostic Network Compression ↗Daquan Zhou, Xiaojie Jin, Qibin Hou et al.4 citations
  14. SolarNet: A Deep Learning Framework to Map Solar Plants In China From Satellite Imagery ↗Xin Hou, Biao Wang, Wanqi Hu et al.4 citations
  15. Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities ↗Baichuan Yuan, Xiaowei Wang, Andrea Louise Bertozzi et al.4 citations
  16. A Machine Learning Pipeline to Predict Vegetation Health ↗Thomas Lees, Gabriel Tseng, Simon Dadson et al.3 citations
  17. Can auto-encoders help with filling missing data? ↗Marek Śmieja, Maciej Kołomycki, Łukasz Struski et al.3 citations
  18. Differentiable Physics Simulation ↗Junbang Liang, Ming C. Lin3 citations
  19. Improved memory in recurrent neural networks with sequential non-normal dynamics ↗Emin Orhan, Xaq Pitkow3 citations
  20. Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks ↗Xin Xing, Long Sha, Pengyu Hong et al.3 citations
  21. Training Recurrent Neural Networks Online by Learning Explicit State Variables ↗Somjit Nath, Vincent Liu, Alan Chan et al.3 citations
  22. Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient ↗Tianshu Yu, Yikang Li, Baoxin Li2 citations
  23. Difference-Seeking Generative Adversarial Network — Unseen Sample Generation ↗Yi Lin Sung, Sung-Hsien Hsieh, Soo‐Chang Pei et al.2 citations
  24. Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information ↗Yichi Zhou, Tongzheng Ren, Jialian Li et al.2 citations
  25. Learning representations for binary-classification without backpropagation ↗Mathias Lechner2 citations
  26. MobilityNet: Towards a Public Dataset for Multi-modal Mobility Research ↗K. Shankari, Jonathan Fürst, Mauricio Fadel Argerich et al.2 citations
  27. Neural Dynamical Systems ↗Viraj Mehta, Ian Char, Willie Neiswanger et al.2 citations
  28. Optimal Strategies Against Generative Attacks ↗Roy Mor, Erez Peterfreund, Matan Gavish et al.2 citations
  29. Regularizing activations in neural networks via distribution matching with the Wassertein metric ↗Taejong Joo, Donggu Kang, Byunghoon Kim2 citations
  30. Deep Symbolic Superoptimization Without Human Knowledge ↗Hui Shi, Yang Zhang, Xinyun Chen et al.1 citation
  31. Differential Equations as a Model Prior for Deep Learning and its Applications in Robotics ↗Michael Lutter, Jan Peters1 citation
  32. Kernel of CycleGAN as a principal homogeneous space ↗Nikita Moriakov, Jonas Adler, Jonas Teuwen1 citation
  33. Port-Hamiltonian Gradient Flows ↗Michael Poli, Stefano Massaroli, Atsushi Yamashita et al.1 citation
  34. SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks ↗Chungkuk Yoo, Bumsoo Kang, Minsik Cho1 citation
  35. DETECTION OF HOUSING AND AGRICULTURE AREAS ON DRY-RIVERBEDS FOR THE EVALUATION OF RISK BY LANDSLIDES USING LOW-RESOLUTION SATELLITE IMAGERY BASED ON DEEP LEARNING. STUDY ZONE: LIMA, PERU ↗Brian Cerrón, Cristopher Bazan, Alberto M. Coronado
  36. Deep Reinforcement Learning based Renewable Energy Error Compensable Forecasting ↗Jaeik Jeong, Hongseok Kim
  37. Fast Convergence for Langevin with Matrix Manifold Structure ↗Ankur Moitra, Andrej Risteski
  38. Generating Control Policies for Autonomous Vehicles Using Neural ODEs ↗Houston Lucas, Richard Kelley
  39. Hurricane Nowcasting with Irregular Time-step using Neural-ODE and Video Prediction ↗Sunghyun Park, Kangyeol Kim, Sookyung Kim et al.
  40. Implementing Inductive bias for different navigation tasks through diverse RNN attrractors ↗Tie Jun Xu, Omri Barak
  41. Learning-Based Strong Solutions to Forward and Inverse Problems in PDEs ↗Leah Bar, Nir Sochen
  42. Machine Learning Approaches to Safeguarding Continuous Water Supply in the Arid and Semi-arid Lands of Northern Kenya ↗Fredrick Otieno, Timothy Nyota, Isaac Waweru et al.
  43. Nano-Material Configuration Design with Deep Surrogate Langevin Dynamics ↗Thanh V. Nguyen, Youssef Mroueh, Samuel C. Hoffman et al.
  44. Neural Ordinary Differential Equation Value Networks for Parametrized Action Spaces ↗Stefano Massaroli, Michael Poli, Sanzhar Bakhtiyarov et al.
  45. Nonlinear Differential Equations with external forcing ↗Paul R. Pukite
  46. Quantifying the Cost of Reliable Photo Authentication via High-Performance Learned Lossy Representations ↗Paweł Korus, Nasir D. Memon
  47. Rotation-invariant clustering of functional cell types in primary visual cortex ↗Ivan Ustyuzhaninov, Santiago A. Cadena, Emmanouil Froudarakis et al.
  48. Statistical manifold embedding for directed graphs ↗Thorben Funke, Tian Guo, Alen Lančić et al.
  49. Towards a Deep Network Architecture for Structured Smoothness ↗Haroun Habeeb, Sanmi Koyejo
  50. Understanding the dynamics of climate-crucial food choice behaviours using Distributional Semantics ↗Claudia Haworth, Gabriella Viglioco

1 2

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2020/papers/page/2/