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Learning Types

56,254 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 (1,984) 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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? ICLR 2023 How To Practice VQA on a Resource-Limited Target Domain WACV 2023 How To Prevent the Continuous Damage of Noises To Model Training? CVPR 2023 How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023 How to Scale Your EMA NeurIPS 2023 How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget NeurIPS 2023 How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval EMNLP 2023 How Well Do Large Language Models Perform on Faux Pas Tests? ACL 2023 How Well Do Text Embedding Models Understand Syntax? EMNLP 2023 HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution EMNLP 2023 HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text NeurIPS 2023 HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models ICCV 2023 HTE at ArAIEval Shared Task: Integrating Content Type Information in Binary Persuasive Technique Detection EMNLP 2023 HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models ACL 2023 HuatuoGPT, Towards Taming Language Model to Be a Doctor EMNLP 2023 Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings CVPR 2023 HuCurl: Human-induced Curriculum Discovery ACL 2023 Human-Aware AI – A Foundational Framework for Human-AI Interaction AAAI 2023 Human-Centred Multimodal Deep Learning Models for Chest X-Ray Diagnosis IJCAI 2023 HumanDiffusion: diffusion model using perceptual gradients Interspeech 2023 Human-Guided Complexity-Controlled Abstractions NeurIPS 2023 Human Guided Ground-Truth Generation for Realistic Image Super-Resolution CVPR 2023 Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition ACL 2023 Human-in-the-loop Abstractive Dialogue Summarization ACL 2023 Human-in-the-Loop Mixup UAI 2023