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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

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

Enhancing Language Model with Unit Test Techniques for Efficient Regular Expression Generation EMNLP 2023 Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets EMNLP 2023 Enhancing Meta Learning via Multi-Objective Soft Improvement Functions ICLR 2023 Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation ICCV 2023 Enhancing Neural Machine Translation with Semantic Units EMNLP 2023 Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words ACL 2023 Enhancing New Intent Discovery via Robust Neighbor-based Contrastive Learning Interspeech 2023 Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation ICCV 2023 Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy EMNLP 2023 Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning ICCV 2023 Enhancing Spanish-Quechua Machine Translation with Pre-Trained Models and Diverse Data Sources: LCT-EHU at AmericasNLP Shared Task ACL 2023 Enhancing Task-oriented Dialogue Systems with Generative Post-processing Networks EMNLP 2023 Enhancing text comprehension for Question Answering with Contrastive Learning ACL 2023 Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks AAAI 2023 Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors EMNLP 2023 Enhancing the Self-Universality for Transferable Targeted Attacks CVPR 2023 Enhancing the Unified Streaming and Non-streaming Model with Contrastive Learning Interspeech 2023 Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models ACL 2023 Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023 Enriching Wayúunaiki-Spanish Neural Machine Translation with Linguistic Information ACL 2023 Ensemble-Based Blackbox Attacks on Dense Prediction CVPR 2023 Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness AAAI 2023 Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs EMNLP 2023 Ensemble Transfer Learning for Multilingual Coreference Resolution ACL 2023 Entailment as Robust Self-Learner ACL 2023