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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)

On the Use of External Data for Spoken Named Entity Recognition NAACL 2022 On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations AAAI 2022 On the Value of Prior in Online Learning to Rank AISTATS 2022 On the well-spread property and its relation to linear regression COLT 2022 Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification NeurIPS 2022 On Transferability of Prompt Tuning for Natural Language Processing NAACL 2022 On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks NeurIPS 2022 On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification NeurIPS 2022 OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022 OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression AAAI 2022 OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs NeurIPS 2022 OpenAUC: Towards AUC-Oriented Open-Set Recognition NeurIPS 2022 OpenBrand: Open Brand Value Extraction from Product Descriptions ACL 2022 Open-Domain Dialog Evaluation Using Follow-Ups Likelihood COLING 2022 Open-Domain Sign Language Translation Learned from Online Video EMNLP 2022 Open-domain Video Commentary Generation EMNLP 2022 OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion NeurIPS 2022 Opening Up Open World Tracking CVPR 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NeurIPS 2022 Open Problem: Do you pay for Privacy in Online learning? COLT 2022 Open Problem: Finite-Time Instance Dependent Optimality for Stochastic Online Learning with Feedback Graphs COLT 2022 Open Problem: Optimal Best Arm Identification with Fixed-Budget COLT 2022 Open Problem: Regret Bounds for Noise-Free Kernel-Based Bandits COLT 2022 OpenPrompt: An Open-source Framework for Prompt-learning ACL 2022 Open Relation and Event Type Discovery with Type Abstraction EMNLP 2022