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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology CVPR 2024 MOSEL: Inference Serving Using Dynamic Modality Selection EMNLP 2024 MoST: Multi-Modality Scene Tokenization for Motion Prediction CVPR 2024 MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer NeurIPS 2024 Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning AAAI 2024 Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring CVPR 2024 Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation NeurIPS 2024 Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events AAAI 2024 MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators AAAI 2024 Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement WACV 2024 MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation AAAI 2024 MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI NeurIPS 2024 MovieChat: From Dense Token to Sparse Memory for Long Video Understanding CVPR 2024 Moving Off-the-Grid: Scene-Grounded Video Representations NeurIPS 2024 MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning ACL 2024 M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions ACL 2024 MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation CVPR 2024 MR-VNet: Media Restoration using Volterra Networks CVPR 2024 MS2SL: Multimodal Spoken Data-Driven Continuous Sign Language Production ACL 2024 MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions NeurIPS 2024 MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting AAAI 2024 msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression AAAI 2024 MSU-4S - The Michigan State University Four Seasons Dataset CVPR 2024 MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval EMNLP 2024 MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations ACL 2024