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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)

Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning NeurIPS 2022 SIOD: Single Instance Annotated per Category per Image for Object Detection CVPR 2022 Situated Dialogue Learning through Procedural Environment Generation ACL 2022 SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification AAAI 2022 Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition WACV 2022 Sketch3T: Test-Time Training for Zero-Shot SBIR CVPR 2022 SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems NeurIPS 2022 SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches CVPR 2022 Sketching Without Worrying: Noise-Tolerant Sketch-Based Image Retrieval CVPR 2022 SkillSpan: Hard and Soft Skill Extraction from English Job Postings NAACL 2022 Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning NeurIPS 2022 SKILL: Structured Knowledge Infusion for Large Language Models NAACL 2022 Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification ICML 2022 SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content EMNLP 2022 Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch NeurIPS 2022 SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition EMNLP 2022 SLIC: Self-Supervised Learning With Iterative Clustering for Human Action Videos CVPR 2022 SLING: Sino Linguistic Evaluation of Large Language Models EMNLP 2022 Slot Filling for Biomedical Information Extraction ACL 2022 SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning ACL 2022 SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages EMNLP 2022 Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning Interspeech 2022 Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data AAAI 2022 Smartphone-Based Game Development to Introduce K12 Students in Applied Artificial Intelligence AAAI 2022 SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction EMNLP 2022