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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)

Describing Like Humans: On Diversity in Image Captioning CVPR 2019 Description-Based Zero-shot Fine-Grained Entity Typing NAACL 2019 DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces RSS 2019 Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes ICCV 2019 Detecting Aggression and Toxicity using a Multi Dimension Capsule Network ACL 2019 Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention ACL 2019 Detecting and Reducing Bias in a High Stakes Domain EMNLP 2019 Detecting cognitive impairments by agreeing on interpretations of linguistic features NAACL 2019 Detecting Concealed Information in Text and Speech ACL 2019 Detecting context abusiveness using hierarchical deep learning EMNLP 2019 Detecting Derogatory Compounds – An Unsupervised Approach NAACL 2019 Detecting Egregious Responses in Neural Sequence-to-sequence Models ICLR 2019 Detecting Mismatch Between Speech and Transcription Using Cross-Modal Attention Interspeech 2019 Detecting Overfitting via Adversarial Examples NeurIPS 2019 Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network IJCAI 2019 Detecting Subevents using Discourse and Narrative Features ACL 2019 Detecting the Unexpected via Image Resynthesis ICCV 2019 Detecting Topic-Oriented Speaker Stance in Conversational Speech Interspeech 2019 Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View CVPR 2019 Detection of Glottal Closure Instants from Raw Speech Using Convolutional Neural Networks Interspeech 2019 Detection of Propaganda Using Logistic Regression EMNLP 2019 Determinantal Point Processes for Coresets JMLR 2019 Determinantal Reinforcement Learning AAAI 2019 Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment Interspeech 2019 Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations CVPR 2019