conftrace_

curriculum learning

739 papers

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CL

Co-occurring keywords · papers mentioning both

reinforcement learning (96) large language model (57) domain adaptation (32) neural machine translation (31) contrastive learning (30) transfer learning (29) self-supervised learning (29) knowledge distillation (27) data augmentation (24) representation learning (24)

Papers

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching ICML 2024 NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NeurIPS 2024 OMNI: Open-endedness via Models of human Notions of Interestingness ICLR 2024 Oversampling, Augmentation and Curriculum Learning for Speaking Assessment with Limited Training Data Interspeech 2024 PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction COLING 2024 Proving Olympiad Algebraic Inequalities without Human Demonstrations NeurIPS 2024 REFeREE: A REference-FREE Model-Based Metric for Text Simplification COLING 2024 Reflect-RL: Two-Player Online RL Fine-Tuning for LMs ACL 2024 Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency ICLR 2024 Reward-Free Curricula for Training Robust World Models ICLR 2024 Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments ACML 2024 Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks ICLR 2024 Statistical curriculum learning: An elimination algorithm achieving an oracle risk COLT 2024 StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ACL 2024 Tackling Missing Modalities in Audio-Visual Representation Learning Using Masked Autoencoders Interspeech 2024 Target Speaker Extraction with Curriculum Learning Interspeech 2024 TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts EMNLP 2024 The Role of Data Curation in Image Captioning EACL 2024 Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks ICML 2024 Towards Data-Efficient Language Models: A Child-Inspired Approach to Language Learning CoNLL 2024 Towards Robust Temporal Activity Localization Learning with Noisy Labels COLING 2024 Training Graph Transformers via Curriculum-Enhanced Attention Distillation ICLR 2024 Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment COLING 2024 TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale NAACL 2024 Unified Unsupervised Salient Object Detection via Knowledge Transfer IJCAI 2024