information bottleneck - Robuta Search

https://openreview.net/forum?id=rke4HiAcY7 Caveats for information bottleneck in deterministic scenarios | OpenReview Information bottleneck behaves in surprising ways whenever the output is a deterministic function of the input. for information caveats bottleneck deterministic scenarios https://deepai.org/publication/invariant-information-bottleneck-for-domain-generalization Invariant Information Bottleneck for Domain Generalization | DeepAI Jun 11, 2021 - 06/11/21 - The main challenge for domain generalization (DG) is to overcome the potential distributional shift between multiple training doma... information bottleneck domain generalization invariant deepai https://openreview.net/forum?id=wsFCbuDwxY Clinical Time Series Imputation using Conditional Information Bottleneck | OpenReview Clinical time series imputation presents a significant challenge because it requires capturing the underlying temporal dynamics from partially observed time... time series conditional information clinical imputation using https://openreview.net/forum?id=vU0KbvQ91x Learning to Abstract with Nonparametric Variational Information Bottleneck | OpenReview Learned representations at the level of characters, sub-words, words, and sentences, have each contributed to advances in understanding different NLP tasks and... information bottleneck learning abstract nonparametric variational https://openreview.net/forum?id=ry_WPG-A-¬eId=ry_WPG-A- On the Information Bottleneck Theory of Deep Learning | OpenReview We show that several claims of the information bottleneck theory of deep learning are not true in the general case. theory of deep learning information bottleneck openreview https://openreview.net/forum?id=lhl_rYNdiH6 Contrastive Graph Structure Learning via Information Bottleneck for Recommendation | OpenReview Graph convolution networks (GCNs) for recommendations have emerged as an important research topic due to their ability to exploit higher-order neighbors.... structure learning information bottleneck contrastive graph via https://openreview.net/forum?id=HJloElBYvB Phase Transitions for the Information Bottleneck in Representation Learning | OpenReview We give a theoretical analysis of the Information Bottleneck objective to understand and predict observed phase transitions in the prediction vs. compression... for the information phase transitions representation learning bottleneck openreview https://deepai.org/publication/multi-agent-communication-with-graph-information-bottleneck-under-limited-bandwidth Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth | DeepAI Dec 20, 2021 - 12/20/21 - Recent studies have shown that introducing communication between agents can significantly improve overall performance in cooperati... multi agent information bottleneck communication graph https://openreview.net/forum?id=Bq4XOaU4sV Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective | OpenReview Reinforcement Learning (RL) has recently achieved remarkable success in robotic control. However, most works in RL operate in simulated environments where... the sim information bottleneck bridging real https://en.wikipedia.org/wiki/Information_bottleneck_method Information bottleneck method - Wikipedia information bottleneck method wikipedia https://openreview.net/forum?id=rJg8yhAqKm InfoBot: Transfer and Exploration via the Information Bottleneck | OpenReview Training agents with goal-policy information bottlenecks promotes transfer and yields a powerful exploration bonus the information infobot transfer exploration via https://deepai.org/publication/explanation-regeneration-via-information-bottleneck Explanation Regeneration via Information Bottleneck | DeepAI Dec 19, 2022 - 12/19/22 - Explaining the black-box predictions of NLP models naturally and accurately is an important open problem in natural language gener... information bottleneck explanation regeneration via deepai https://openreview.net/forum?id=INqLJwqUmc Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability... The task of identifying multimodal image-text representations has garnered increasing attention, particularly with models such as CLIP (Contrastive... information bottleneck image text narrowing theory multimodal https://openreview.net/forum?id=kvhzKz-_DMF Variational Information Bottleneck for Effective Low-Resource Fine-Tuning | OpenReview While large-scale pretrained language models have obtained impressive results when fine-tuned on a wide variety of tasks, they still often suffer from... information bottleneck fine tuning variational effective low