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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)

Detecting and Repairing Deviated Outputs of Compressed Models ACML 2023 Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models NeurIPS 2023 Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models EMNLP 2023 Detecting Backdoors in Pre-Trained Encoders CVPR 2023 Detecting Contextomized Quotes in News Headlines by Contrastive Learning EACL 2023 Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark ACL 2023 Detecting Everything in the Open World: Towards Universal Object Detection CVPR 2023 Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning MLHC 2023 Detecting hidden confounding in observational data using multiple environments NeurIPS 2023 Detecting intersectionality in NER models: A data-driven approach EACL 2023 Detecting Lexical Borrowings from Dominant Languages in Multilingual Wordlists EACL 2023 Detecting Multivariate Time Series Anomalies with Zero Known Label AAAI 2023 Detecting Out-of-distribution Data through In-distribution Class Prior ICML 2023 Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding CVPR 2023 Detection of Emotional Hotspots in Meetings Using a Cross-Corpus Approach Interspeech 2023 Detection of Laughter and Screaming Using the Attention and CTC Models Interspeech 2023 DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text EMNLP 2023 DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM EMNLP 2023 DETR With Additional Global Aggregation for Cross-Domain Weakly Supervised Object Detection CVPR 2023 Developing Speech Processing Pipelines for Police Accountability Interspeech 2023 DevFormer: A Symmetric Transformer for Context-Aware Device Placement ICML 2023 DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation NeurIPS 2023 Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play CoRL 2023 D-Extract: Extracting Dimensional Attributes From Product Images WACV 2023 DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings ICCV 2023