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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)

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning NeurIPS 2021 FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling NeurIPS 2021 FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding CoRL 2021 FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks EMNLP 2021 FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction AAAI 2021 FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters ICCV 2021 Flow-Based Kernel Prior With Application to Blind Super-Resolution CVPR 2021 FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation CVPR 2021 Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring ICCV 2021 Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design ICML 2021 Follow-the-Regularized-Leader Routes to Chaos in Routing Games ICML 2021 Fooling LiDAR Perception via Adversarial Trajectory Perturbation ICCV 2021 Fool Me Twice: Entailment from Wikipedia Gamification NAACL 2021 Forecasting Irreversible Disease via Progression Learning CVPR 2021 Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization ICCV 2021 Foreground Activation Maps for Weakly Supervised Object Localization ICCV 2021 Foreseeing the Benefits of Incidental Supervision EMNLP 2021 For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets NeurIPS 2021 Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations NeurIPS 2021 Formalizing the Generalization-Forgetting Trade-off in Continual Learning NeurIPS 2021 For self-supervised learning, Rationality implies generalization, provably ICLR 2021 Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors CVPR 2021 Fourier Space Losses for Efficient Perceptual Image Super-Resolution ICCV 2021 Fractal Autoencoders for Feature Selection AAAI 2021 Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames NAACL 2021