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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)

Joint Learning of Context and Feedback Embeddings in Spoken Dialogue Interspeech 2024 JointMotion: Joint Self-Supervision for Joint Motion Prediction CoRL 2024 Joint-Task Regularization for Partially Labeled Multi-Task Learning CVPR 2024 JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning COLING 2024 JRC at ClimateActivism 2024: Lexicon-based Detection of Hate Speech EACL 2024 JSI and WüNLP at the DIALECT-COPA Shared Task: In-Context Learning From Just a Few Dialectal Examples Gets You Quite Far NAACL 2024 JudithJeyafreeda_StressIdent_LT-EDI@EACL2024: GPT for stress identification EACL 2024 Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX ICLR 2024 Jump Starting Bandits with LLM-Generated Prior Knowledge EMNLP 2024 Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem NeurIPS 2024 Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios ACL 2024 Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations ICML 2024 Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning WACV 2024 Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning NeurIPS 2024 KAUCUS - Knowledgeable User Simulators for Training Large Language Models EACL 2024 KazSAnDRA: Kazakh Sentiment Analysis Dataset of Reviews and Attitudes COLING 2024 KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases EMNLP 2024 KCL: Few-shot Named Entity Recognition with Knowledge Graph and Contrastive Learning COLING 2024 KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive Learning NAACL 2024 Keep, Delete, or Substitute: Frame Selection Strategy for Noise-Robust Speech Emotion Recognition Interspeech 2024 Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates NeurIPS 2024 Keep it Private: Unsupervised Privatization of Online Text NAACL 2024 Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models PGM 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024