Papers
Interpretation of Natural Language Rules in Conversational Machine Reading
Marzieh Saeidi, Max Bartolo, Patrick Lewis et al.
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections
Xin Zhang, Armando Solar-Lezama, Rishabh Singh
Interpreting Neural Networks with Nearest Neighbors
Eric Wallace, Shi Feng, Jordan Boyd-Graber
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
Reza Ghaeini, Xiaoli Fern, Prasad Tadepalli
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
Avery Hiebert, Cole Peterson, Alona Fyshe et al.
Interpret Neural Networks by Identifying Critical Data Routing Paths
Yulong Wang, Hang Su, Bo Zhang et al.
Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth
Jussi Viinikka, Ralf Eggeling, Mikko Koivisto
Intervals of Causal Effects for Learning Causal Graphical Models
Samuel Montero-Hernandez, Felipe Orihuela-Espina, Luis Enrique Sucar
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Fan Wang, Bo Zhou, Ke Chen et al.
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video
Yin Li, Miao Liu, James M. Rehg
Intonation tutor by SPIRE (In-SPIRE): An Online Tool for an Automatic Feedback to the Second Language Learners in Learning Intonation
Anand P A, Chiranjeevi Yarra, Kausthubha N K et al.
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization
Aashish Sharma, Loong-Fah Cheong
Intrinsic Image Transformation via Scale Space Decomposition
Lechao Cheng, Chengyi Zhang, Zicheng Liao
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov et al.
Introducing Two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness
Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
Introspection for convolutional automatic speech recognition
Andreas Krug, Sebastian Stober
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
Huaibo Huang, zhihang li, Ran He et al.
Invariance of Weight Distributions in Rectified MLPs
Russell Tsuchida, Fred Roosta, Marcus Gallagher
Invariant Models for Causal Transfer Learning
Mateo Rojas-Carulla, Bernhard Schölkopf, Richard Turner et al.
Invariant Representations without Adversarial Training
Daniel Moyer, Shuyang Gao, Rob Brekelmans et al.
Inverse Composition Discriminative Optimization for Point Cloud Registration
Jayakorn Vongkulbhisal, Beñat Irastorza Ugalde, Fernando De la Torre et al.
InverseFaceNet: Deep Monocular Inverse Face Rendering
Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari et al.
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling
Adrian Šošić, Elmar Rueckert, Jan Peters et al.
Invertibility of Convolutional Generative Networks from Partial Measurements
Fangchang Ma, Ulas Ayaz, Sertac Karaman