Papers
Achieving a Fairer Future by Changing the Past
Jiafan He, Ariel D. Procaccia, Alexandros Psomas et al.
Achieving Causal Fairness through Generative Adversarial Networks
Depeng Xu, Yongkai Wu, Shuhan Yuan et al.
Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information
Peter Auer, Yifang Chen, Pratik Gajane et al.
Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly
Yingjie Fei, Yudong Chen
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Po-Sen Huang, Robert Stanforth, Johannes Welbl et al.
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Po-Sen Huang, Robert Stanforth, Johannes Welbl et al.
A Chinese Dataset for Identifying Speakers in Novels
Jia-Xiang Chen, Zhen-Hua Ling, Li-Rong Dai
A Closed-Form Solution to Universal Style Transfer
Ming Lu, Hao Zhao, Anbang Yao et al.
A Closer Look at Data Bias in Neural Extractive Summarization Models
Ming Zhong, Danqing Wang, Pengfei Liu et al.
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong et al.
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
Varun Kumar, Hadrien Glaude, Cyprien de Lichy et al.
A Closer Look at Few-shot Classification
Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira et al.
ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition
Yuan Yuan, Zhitong Xiong, Qi Wang
ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching
Yan Huang, Liang Wang
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding, Yuchen Guo, Guiguang Ding et al.
A-CNN: Annularly Convolutional Neural Networks on Point Clouds
Artem Komarichev, Zichun Zhong, Jing Hua
A Combination of Model-Based and Feature-Based Strategy for Speech-to-Singing Alignment
Bidisha Sharma, Haizhou Li
A Compact and Language-Sensitive Multilingual Translation Method
Yining Wang, Long Zhou, Jiajun Zhang et al.
A Compact Embedding for Facial Expression Similarity
Raviteja Vemulapalli, Aseem Agarwala
A Comparative Analysis of Expected and Distributional Reinforcement Learning
Clare Lyle, Marc G. Bellemare, Pablo Samuel Castro
A Comparative Analysis of Unsupervised Language Adaptation Methods
Gil Rocha, Henrique Lopes Cardoso
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
Sebastijan Dumancic, Alberto Garcia-Duran, Mathias Niepert
A Comparison of Deep Learning Methods for Language Understanding
Mandy Korpusik, Zoe Liu, James Glass
A comparison of statistical association measures for identifying dependency-based collocations in various languages.
Marcos Garcia, Marcos García Salido, Margarita Alonso-Ramos