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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)

Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion IJCAI 2022 Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge NeurIPS 2022 Stanceosaurus: Classifying Stance Towards Multicultural Misinformation EMNLP 2022 STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing EMNLP 2022 Star Temporal Classification: Sequence Modeling with Partially Labeled Data NeurIPS 2022 Starting from “Zero”: An Incremental Zero-shot Learning Approach for Assessing Peer Feedback Comments NAACL 2022 State-Aware Adversarial Training for Utterance-Level Dialogue Generation EMNLP 2022 State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022 State Deviation Correction for Offline Reinforcement Learning AAAI 2022 State & Trait Measurement from Nonverbal Vocalizations: A Multi-Task Joint Learning Approach Interspeech 2022 Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection AAAI 2022 Stationary Diffusion State Neural Estimation for Multiview Clustering AAAI 2022 Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NeurIPS 2022 STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction AAAI 2022 Stein Latent Optimization for Generative Adversarial Networks ICLR 2022 STEM: Unsupervised STructural EMbedding for Stance Detection AAAI 2022 StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts AAAI 2022 Stereoscopic Universal Perturbations Across Different Architectures and Datasets CVPR 2022 STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing EMNLP 2022 ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation CVPR 2022 STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers NeurIPS 2022 Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams IJCAI 2022 Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning ICML 2022 Stochastic Goal Recognition Design Problems with Suboptimal Agents AAAI 2022 Stochastic Multiple Target Sampling Gradient Descent NeurIPS 2022