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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)

Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of Speech-Silence and Word-Punctuation Interspeech 2024 Multimodal Belief Prediction Interspeech 2024 Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals RSS 2024 Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media AAAI 2024 Multi-Modal Disordered Representation Learning Network for Description-Based Person Search AAAI 2024 Multimodal Ensembling for Zero-Shot Image Classification AAAI 2024 Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network AAAI 2024 Multimodal Fusion of Music Theory-Inspired and Self-Supervised Representations for Improved Emotion Recognition Interspeech 2024 Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data ICLR 2024 Multi-Modal Gaze Following in Conversational Scenarios WACV 2024 Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024 Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer CVPR 2024 Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping CVPR 2024 Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception CVPR 2024 Multimodal Instruction Tuning with Conditional Mixture of LoRA ACL 2024 Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation AAAI 2024 Multimodality-Guided Image Style Transfer Using Cross-Modal GAN Inversion WACV 2024 Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning IJCAI 2024 Multimodal Large Language Models Make Text-to-Image Generative Models Align Better NeurIPS 2024 Multi-modal Learning for Geospatial Vegetation Forecasting CVPR 2024 Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications ICLR 2024 Multimodal Molecular Pretraining via Modality Blending ICLR 2024 Multimodal Patient Representation Learning with Missing Modalities and Labels ICLR 2024 Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition ACL 2024 Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration CVPR 2024