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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)

An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics CVPR 2020 An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation AAAI 2020 An AI-empowered Visual Storyline Generator IJCAI 2020 Analogous Process Structure Induction for Sub-event Sequence Prediction EMNLP 2020 Analogy Models for Neural Word Inflection COLING 2020 Analysing Lexical Semantic Change with Contextualised Word Representations ACL 2020 Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NeurIPS 2020 Analyzing Breath Signals for the Interspeech 2020 ComParE Challenge Interspeech 2020 Analyzing Neural Discourse Coherence Models EMNLP 2020 Analyzing Redundancy in Pretrained Transformer Models EMNLP 2020 An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios EMNLP 2020 An Analysis of Natural Language Inference Benchmarks through the Lens of Negation EMNLP 2020 An Analysis of the Utility of Explicit Negative Examples to Improve the Syntactic Abilities of Neural Language Models ACL 2020 An Analytical Workflow for Clustering Forensic Images (Student Abstract) AAAI 2020 An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training AAAI 2020 An Attentional Recurrent Neural Network for Personalized Next Location Recommendation AAAI 2020 An Attention-Based Graph Neural Network for Heterogeneous Structural Learning AAAI 2020 An Auto-Encoder Strategy for Adaptive Image Segmentation MIDL 2020 A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits AAAI 2020 An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning AAAI 2020 An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results ACL 2020 An Effective Perturbation Based Semi-Supervised Learning Method for Sound Event Detection Interspeech 2020 An Effective Speaker Recognition Method Based on Joint Identification and Verification Supervisions Interspeech 2020 An Efficient Adversarial Attack for Tree Ensembles NeurIPS 2020 An Efficient PointLSTM for Point Clouds Based Gesture Recognition CVPR 2020