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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 Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis EMNLP 2023 A Multi-task Learning Framework for Quality Estimation ACL 2023 A Multi-Task Learning Framework for Sound Event Detection using High-level Acoustic Characteristics of Sounds Interspeech 2023 An ε-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond NeurIPS 2023 An active learning framework for multi-group mean estimation NeurIPS 2023 An Active Learning Pipeline for NLU Error Detection in Conversational Agents ACL 2023 An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity CVPR 2023 An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning ICML 2023 An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data AAAI 2023 An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability ICCV 2023 ANALOGICAL - A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models ACL 2023 Analogical Inference Enhanced Knowledge Graph Embedding AAAI 2023 Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study EMNLP 2023 Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime AISTATS 2023 Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast ACL 2023 Analyzing Multilingual Competency of LLMs in Multi-Turn Instruction Following: A Case Study of Arabic EMNLP 2023 Analyzing Multi-Sentence Aggregation in Abstractive Summarization via the Shapley Value EMNLP 2023 Analyzing Pre-trained and Fine-tuned Language Models EMNLP 2023 Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods NeurIPS 2023 AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks ACL 2023 Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections ICLR 2023 An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023 Anaphor Assisted Document-Level Relation Extraction EMNLP 2023 Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis ICCV 2023 An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients Interspeech 2023