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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)

A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning AAAI 2023 A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction EMNLP 2023 A Comprehensive Evaluation of Tool-Assisted Generation Strategies EMNLP 2023 A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting EMNLP 2023 A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023 A conformer-based classifier for variable-length utterance processing in anti-spoofing Interspeech 2023 A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials WACV 2023 A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya AAAI 2023 A Contrastive Approach to Online Change Point Detection AISTATS 2023 A Control-Centric Benchmark for Video Prediction ICLR 2023 A Coreset Learning Reality Check AAAI 2023 A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training RSS 2023 A Coupled Flow Approach to Imitation Learning ICML 2023 Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling Interspeech 2023 Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction ACL 2023 A Critical Analysis of Document Out-of-Distribution Detection EMNLP 2023 A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification ICML 2023 ACROSS: An Alignment-based Framework for Low-Resource Many-to-One Cross-Lingual Summarization ACL 2023 ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation CVPR 2023 ACTA: Short-Answer Grading in High-Stakes Medical Exams ACL 2023 Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs NeurIPS 2023 ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion ACL 2023 Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation AAAI 2023 Action-Conditioned Generation of Bimanual Object Manipulation Sequences AAAI 2023 Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models NeurIPS 2023