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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)

Can In-context Learners Learn a Reasoning Concept from Demonstrations? ACL 2023 Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning? ACML 2023 Can Label-Specific Features Help Partial-Label Learning? AAAI 2023 Can Language Models Understand Physical Concepts? EMNLP 2023 Can Large Language Models Capture Dissenting Human Voices? EMNLP 2023 Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization EMNLP 2023 Can Neural Networks Learn Implicit Logic from Physical Reasoning? ICLR 2023 Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? ACL 2023 Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields CVPR 2023 Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? JMLR 2023 Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model EMNLP 2023 Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers? Interspeech 2023 Can semi-supervised learning use all the data effectively? A lower bound perspective NeurIPS 2023 Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions? ACL 2023 Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders CVPR 2023 Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? ICML 2023 Can Word Sense Distribution Detect Semantic Changes of Words? EMNLP 2023 Can You Answer This? – Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract) AAAI 2023 CapDet: Unifying Dense Captioning and Open-World Detection Pretraining CVPR 2023 CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization ACL 2023 CAP: Robust Point Cloud Classification via Semantic and Structural Modeling CVPR 2023 CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes NeurIPS 2023 CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering EMNLP 2023 Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization CVPR 2023 CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023