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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)

RU at WASSA 2024 Shared Task: Task-Aligned Prompt for Predicting Empathy and Distress ACL 2024 RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs EMNLP 2024 Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin ACL 2024 Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models? ACL 2024 RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models EMNLP 2024 Russian Learner Corpus: Towards Error-Cause Annotation for L2 Russian COLING 2024 RVT-2: Learning Precise Manipulation from Few Demonstrations RSS 2024 RWKV-CLIP: A Robust Vision-Language Representation Learner EMNLP 2024 RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation AAAI 2024 S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity NeurIPS 2024 S3AD: Semi-Supervised Small Apple Detection in Orchard Environments WACV 2024 S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment AAAI 2024 S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning ICML 2024 S3Prompt: Instructing the Model with Self-calibration, Self-recall and Self-aggregation to Improve In-context Learning COLING 2024 SA3DIP: Segment Any 3D Instance with Potential 3D Priors NeurIPS 2024 SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models EMNLP 2024 SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports IJCAI 2024 SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training CVPR 2024 Safe Abductive Learning in the Presence of Inaccurate Rules AAAI 2024 Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NeurIPS 2024 Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024 SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies AAAI 2024 Safe Exploitative Play with Untrusted Type Beliefs NeurIPS 2024 Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach IJCAI 2024 Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning IJCAI 2024