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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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477
4,652
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2000
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Papers (including subtopics)

Bandits with Knapsacks: Advice on Time-Varying Demands ICML 2023 BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews ACL 2023 BanglaNLP at BLP-2023 Task 2: Benchmarking different Transformer Models for Sentiment Analysis of Bangla Social Media Posts EMNLP 2023 Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning ICML 2023 Barlow Graph Auto-Encoder for Unsupervised Network Embedding AISTATS 2023 BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning ACML 2023 BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis NeurIPS 2023 Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation IJCAI 2023 BAT: Boundary aware transducer for memory-efficient and low-latency ASR Interspeech 2023 Batch Model Consolidation: A Multi-Task Model Consolidation Framework CVPR 2023 Batchnorm Allows Unsupervised Radial Attacks NeurIPS 2023 Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT - A Text-to-SQL Parsing Comparison EMNLP 2023 Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization AAAI 2023 Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023 Bayesian Optimization with Conformal Prediction Sets AISTATS 2023 Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images ICLR 2023 Beam Search Optimized Batch Bayesian Active Learning AAAI 2023 BEATs: Audio Pre-Training with Acoustic Tokenizers ICML 2023 BeAts: Bengali Speech Acts Recognition using Multimodal Attention Fusion Interspeech 2023 BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset NeurIPS 2023 Become a Proficient Player with Limited Data through Watching Pure Videos ICLR 2023 BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks NeurIPS 2023 Behavior Contrastive Learning for Unsupervised Skill Discovery ICML 2023 Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning AAAI 2023 Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets RSS 2023