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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)

Evaluating ChatGPT and Bard AI on Arabic Sentiment Analysis EMNLP 2023 Evaluating context-invariance in unsupervised speech representations Interspeech 2023 Evaluating Cross-Domain Text-to-SQL Models and Benchmarks EMNLP 2023 Evaluating Cross Lingual Transfer for Morphological Analysis: a Case Study of Indian Languages ACL 2023 Evaluating Digital Agriculture Recommendations with Causal Inference AAAI 2023 Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis EMNLP 2023 Evaluating Metrics for Document-context Evaluation in Machine Translation EMNLP 2023 Evaluating Neural Language Models as Cognitive Models of Language Acquisition EMNLP 2023 Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information ACL 2023 Evaluating Open-Domain Question Answering in the Era of Large Language Models ACL 2023 Evaluating Parameter-Efficient Finetuning Approaches for Pre-trained Models on the Financial Domain EMNLP 2023 Evaluating pragmatic abilities of image captioners on A3DS ACL 2023 Evaluating Self-Supervised Learning for Molecular Graph Embeddings NeurIPS 2023 Evaluating Self-Supervised Learning via Risk Decomposition ICML 2023 Evaluating the Factual Consistency of Large Language Models Through News Summarization ACL 2023 Evaluating Unsupervised Denoising Requires Unsupervised Metrics ICML 2023 Evaluating Verifiability in Generative Search Engines EMNLP 2023 Evaluating Zero-Shot Event Structures: Recommendations for Automatic Content Extraction (ACE) Annotations ACL 2023 Evaluation for Change ACL 2023 Evaluation Metrics for Depth and Flow of Knowledge in Non-fiction Narrative Texts ACL 2023 Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers ACL 2023 Evaluation of Question Generation Needs More References ACL 2023 Event Camera Data Pre-training ICCV 2023 Event-Centric Query Expansion in Web Search ACL 2023 Event Extraction as Question Generation and Answering ACL 2023