Papers
734 papers found
CTS2: Time Series Smoothing with Constrained Reinforcement Learning
Yongshuai Liu, Xin Liu
DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks
Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad et al.
DDSAS: Dynamic and Differentiable Space-Architecture Search
Longxing Yang, Yu Hu, Shun Lu et al.
Deep Structural Contrastive Subspace Clustering
Bo Peng, Wenjie Zhu
Domain Adaptive YOLO for One-Stage Cross-Domain Detection
Shizhao Zhang, Hongya Tuo, Jian Hu et al.
DPOQ: Dynamic Precision Onion Quantization
Bowen Li, Kai Huang, Siang Chen et al.
Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning
Chapman Siu, Jason Traish, Richard Yi Da Xu
Dynamic Popularity-Aware Contrastive Learning for Recommendation
Fangquan Lin, Wei Jiang, Jihai Zhang et al.
Efficient Coreset Constructions via Sensitivity Sampling
Vladimir Braverman, Dan Feldman, Harry Lang et al.
Encoder-decoder-based image transformation approach for integrating precipitation forecasts
Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori et al.
Ensembling With a Fixed Parameter Budget: When Does It Help and Why?
Didan Deng, Emil Bertram Shi
ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data
Hongjiao Guan, Bin Ma, Yingtao Zhang et al.
Expert advice problem with noisy low rank loss
Yaxiong Liu, Xuanke Jiang, Kohei Hatano et al.
Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models
Napoleon Costilla-Enriquez, Yang Weng
Expressive Neural Voice Cloning
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov et al.
Fairness constraint of Fuzzy C-means Clustering improves clustering fairness
Xu Xia, Zhang Hui, Ynag Chunming et al.
Fast Rate Learning in Stochastic First Price Bidding
Juliette Achddou, Olivier Cappé, Aurélien Garivier
Generating Deep Networks Explanations with Robust Attribution Alignment
Guohang Zeng, Yousef Kowsar, Sarah Erfani et al.
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning
Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara
Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization
Tsuji Satoki, Kawaguchi Hiroshi, Inoue Atsuki et al.
Hierarchical Semantic Segmentation using Psychometric Learning
Lu Yin, Vlado Menkovski, Shwei Liu et al.
Hybrid Estimation for Open-Ended Questions with Early-Age Students’ Block-Based Programming Answers
Hao Wu, Tianyi Chen, Xianzhe Luo et al.
Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector
Mingyang Song, Liping Jing, Yi Feng et al.
Improving Gaussian mixture latent variable model convergence with Optimal Transport
Benoit Gaujac, Ilya Feige, David Barber