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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)

CiT: Curation in Training for Effective Vision-Language Data ICCV 2023 City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC AAAI 2023 CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation ACL 2023 CLaC at SemEval-2023 Task 3: Language Potluck RoBERTa Detects Online Persuasion Techniques in a Multilingual Setup SemEval 2023 CLadder: Assessing Causal Reasoning in Language Models NeurIPS 2023 CLAD-ST: Contrastive Learning with Adversarial Data for Robust Speech Translation EMNLP 2023 CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose CVPR 2023 CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-Training ACL 2023 Clark Kent at SemEval-2023 Task 5: SVMs, Transformers, and Pixels for Clickbait Spoiling SemEval 2023 Class Adaptive Network Calibration CVPR 2023 Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data ACL 2023 Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning CVPR 2023 Class-Balancing Diffusion Models CVPR 2023 Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023 Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning NeurIPS 2023 Classification of Adolescents’ Risky Behavior in Instant Messaging Conversations AISTATS 2023 Classification of Vocal Intensity Category from Speech using the Wav2vec2 and Whisper Embeddings Interspeech 2023 Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models. Interspeech 2023 Classifying Rhoticity of /ɹ/ in Speech Sound Disorder using Age-and-Sex Normalized Formants Interspeech 2023 Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision ICCV 2023 Class-Incremental Exemplar Compression for Class-Incremental Learning CVPR 2023 Class-Incremental Grouping Network for Continual Audio-Visual Learning ICCV 2023 Class-Incremental Learning based on Label Generation ACL 2023 Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract) AAAI 2023 Class-Independent Regularization for Learning with Noisy Labels AAAI 2023