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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)

Exploring Distantly-Labeled Rationales in Neural Network Models ACL 2021 Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection ICCV 2021 Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing CVPR 2021 Exploring Implicit Sentiment Evoked by Fine-grained News Events EACL 2021 Exploring Inspiration Sets in a Data Programming Pipeline for Product Moderation ACL 2021 Exploring Linguistically-Lightweight Keyword Extraction Techniques for Indexing News Articles in a Multilingual Set-up EACL 2021 Exploring Long Tail Visual Relationship Recognition With Large Vocabulary ICCV 2021 Exploring Metaphoric Paraphrase Generation CoNLL 2021 Exploring Methods for Generating Feedback Comments for Writing Learning EMNLP 2021 Exploring Multitask Learning for Low-Resource Abstractive Summarization EMNLP 2021 Exploring Non-Autoregressive Text Style Transfer EMNLP 2021 Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution EMNLP 2021 Exploring Relational Context for Multi-Task Dense Prediction ICCV 2021 Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation ICCV 2021 Exploring Simple 3D Multi-Object Tracking for Autonomous Driving ICCV 2021 Exploring Simple Siamese Representation Learning CVPR 2021 Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models Interspeech 2021 Exploring Task Difficulty for Few-Shot Relation Extraction EMNLP 2021 Exploring Temporal Coherence for More General Video Face Forgery Detection ICCV 2021 Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs EACL 2021 Exploring the Limits of Out-of-Distribution Detection NeurIPS 2021 Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization EMNLP 2021 Exploring Visual Engagement Signals for Representation Learning ICCV 2021 Exploring wav2vec 2.0 on Speaker Verification and Language Identification Interspeech 2021 Exploring Word Usage Change with Continuously Evolving Embeddings ACL 2021