information theory

Information-Driven Direct RGB-D Odometry CVPR 2020 Information Theoretic Model Predictive Q-Learning L4DC 2020 Information-Theoretic Probing with Minimum Description Length EMNLP 2020 Information-theoretic Task Selection for Meta-Reinforcement Learning NeurIPS 2020 Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020 IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL IJCAI 2020 Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing ICML 2020 It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information ACL 2020 Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction NeurIPS 2020 Less is Better: A cognitively inspired unsupervised model for language segmentation COLING 2020 Limits on Testing Structural Changes in Ising Models NeurIPS 2020 Localized active learning of Gaussian process state space models L4DC 2020 Maintaining Quality in FEVER Annotation ACL 2020 Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions EMNLP 2020 Meta-Learning Requires Meta-Augmentation NeurIPS 2020 Meta-Learning without Memorization ICLR 2020 Multi-label Feature Selection via Global Relevance and Redundancy Optimization IJCAI 2020 Optimal Group Testing COLT 2020 Optimal Query Complexity of Secure Stochastic Convex Optimization NeurIPS 2020 People Do Not Just Plan,They Plan to Plan AAAI 2020 Predicting Declension Class from Form and Meaning ACL 2020 Processing effort is a poor predictor of cross-linguistic word order frequency CoNLL 2020 Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions NeurIPS 2020 RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization AISTATS 2020 Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives ICLR 2020