conftrace_

entropy maximization

26 papers

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Co-occurring keywords

reinforcement learning (4352) exploration strategy (96) entropy optimization (6) off-policy learning (228) continuous control (246) mutual information (724) semantic consistency (164) policy learning (702) feature selection (649) sample efficiency (472)

Papers

OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions EACL 2026
Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training ACL 2026
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization COLING 2025
Perspective-driven Preference Optimization with Entropy Maximization for Diverse Argument Generation EMNLP 2025
Taming Mode Collapse in Score Distillation for Text-to-3D Generation CVPR 2024
Learning to Embed Distributions via Maximum Kernel Entropy NIPS 2024
MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery ICCV 2023
CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration AAAI 2023
Entropy-Driven Mixed-Precision Quantization for Deep Network Design NIPS 2022
Text Style Transferring via Adversarial Masking and Styled Filling EMNLP 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification NAACL 2022
Diversified Recommendations for Agents with Adaptive Preferences NIPS 2022
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation ICCV 2021
Self-Conditioned Probabilistic Learning of Video Rescaling ICCV 2021
Stochastic Policy Optimization with Heuristic Information for Robot Learning CORL 2021
Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling ICML 2020
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization AISTATS 2019
Leveraging exploration in off-policy algorithms via normalizing flows CORL 2019
Reducing Network Agnostophobia NIPS 2018
On Greedy Maximization of Entropy ICML 2015
Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots RSS 2014
Dynamic visual attention: searching for coding length increments NIPS 2008