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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)

FREE: Feature Refinement for Generalized Zero-Shot Learning ICCV 2021 Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples EACL 2021 From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment EMNLP 2021 From Canonical Correlation Analysis to Self-supervised Graph Neural Networks NeurIPS 2021 From Generalized Zero-Shot Learning to Long-Tail With Class Descriptors WACV 2021 From Label Smoothing to Label Relaxation AAAI 2021 From Local Structures to Size Generalization in Graph Neural Networks ICML 2021 From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding NAACL 2021 From None to Severe: Predicting Severity in Movie Scripts EMNLP 2021 From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding ACL 2021 From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach CVPR 2021 Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic Parsing EMNLP 2021 Frustratingly Simple Pretraining Alternatives to Masked Language Modeling EMNLP 2021 FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding CVPR 2021 Fully Self-Supervised Class Awareness in Dense Object Descriptors CoRL 2021 Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction CVPR 2021 Functional Space Analysis of Local GAN Convergence ICML 2021 Function Contrastive Learning of Transferable Meta-Representations ICML 2021 Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021 Fusion Learning Using Semantics and Graph Convolutional Network for Visual Food Recognition WACV 2021 Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition Interspeech 2021 Fuzzy Clustering with Similarity Queries NeurIPS 2021 Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online ICLR 2021 G2D: Generate to Detect Anomaly WACV 2021 GAIA: A Transfer Learning System of Object Detection That Fits Your Needs CVPR 2021