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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

rematchka at ArabicNLU2024: Evaluating Large Language Models for Arabic Word Sense and Location Sense Disambiguation ACL 2024 Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models EMNLP 2024 ReMI: A Dataset for Reasoning with Multiple Images NeurIPS 2024 Removing Biases from Molecular Representations via Information Maximization ICLR 2024 Removing the Quality Tax in Controllable Face Generation WACV 2024 Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning RSS 2024 Renovating Names in Open-Vocabulary Segmentation Benchmarks NeurIPS 2024 Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning ICLR 2024 RepEval: Effective Text Evaluation with LLM Representation EMNLP 2024 Replay across Experiments: A Natural Extension of Off-Policy RL ICLR 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NeurIPS 2024 Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma NeurIPS 2024 RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content NeurIPS 2024 RepMatch: Quantifying Cross-Instance Similarities in Representation Space EMNLP 2024 Repoformer: Selective Retrieval for Repository-Level Code Completion ICML 2024 Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing EMNLP 2024 Representational Isomorphism and Alignment of Multilingual Large Language Models EMNLP 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024 Representation Degeneration Problem in Prompt-based Models for Natural Language Understanding COLING 2024 Representation Noising: A Defence Mechanism Against Harmful Finetuning NeurIPS 2024 Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision CVPR 2024 Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods AAAI 2024 Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design NeurIPS 2024 Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe NeurIPS 2024 Re-ReST: Reflection-Reinforced Self-Training for Language Agents EMNLP 2024