Papers
General Policies, Representations, and Planning Width
Blai Bonet, Hector Geffner
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
Nishtha Madaan, Inkit Padhi, Naveen Panwar et al.
Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract)
Jinqi Luo, Tao Bai, Jun Zhao
Generating CCG Categories
Yufang Liu, Tao Ji, Yuanbin Wu et al.
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection
Wei Wang, Piji Li, Hai-Tao Zheng
Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation
Yunpeng Ren, Ziao Wang, Yiyuan Wang et al.
Generating Natural Language Attacks in a Hard Label Black Box Setting
Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
Generative Partial Visual-Tactile Fused Object Clustering
Tao Zhang, Yang Cong, Gan Sun et al.
Generative Semi-supervised Learning for Multivariate Time Series Imputation
Xiaoye Miao, Yangyang Wu, Jun Wang et al.
Gene Regulatory Network Inference as Relaxed Graph Matching
Deborah Weighill, Marouen Ben Guebila, Camila Lopes-Ramos et al.
Gene Regulatory Network Inference using 3D Convolutional Neural Network
Yue Fan, Xiuli Ma
GENSYNTH: Synthesizing Datalog Programs without Language Bias
Jonathan Mendelson, Aaditya Naik, Mukund Raghothaman et al.
Geodesic-HOF: 3D Reconstruction Without Cutting Corners
Ziyun Wang, Eric A. Mitchell, Volkan Isler et al.
GIF Thumbnails: Attract More Clicks to Your Videos
Yi Xu, Fan Bai, Yingxuan Shi et al.
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum et al.
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan et al.
Global Fusion Attention for Vision and Language Understanding (Student Abstract)
Zixin Guo, Chen Liang, Ziyu Wan et al.
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle
Yu-Sian Jiang, Garrett Warnell, Peter Stone
GO Hessian for Expectation-Based Objectives
Yulai Cong, Miaoyun Zhao, Jianqiao Li et al.
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Hanle Zheng, Yujie Wu, Lei Deng et al.
GoT: a Growing Tree Model for Clustering Ensemble
Feijiang Li, Yuhua Qian, Jieting Wang
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training
Lucien K. L. Ng, Sherman S. M. Chow, Anna P. Y. Woo et al.
Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks
Charles A. Kantor, Léonard Boussioux, Brice Rauby et al.
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
Wei Tao, Wei Li, Zhisong Pan et al.
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Shixiang Tang, Peng Su, Dapeng Chen et al.