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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)

Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval ACL 2024 Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis CVPR 2024 DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG EMNLP 2024 Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification AAAI 2024 Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024 Dynamic Layer Tying for Parameter-Efficient Transformers ICLR 2024 Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024 Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NeurIPS 2024 Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification CVPR 2024 Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024 Dynamics-Informed Protein Design with Structure Conditioning ICLR 2024 Dynamic Spiking Graph Neural Networks AAAI 2024 Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning AAAI 2024 Dynamic Weighted Combiner for Mixed-Modal Image Retrieval AAAI 2024 DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control NeurIPS 2024 DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion ACL 2024 DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models EMNLP 2024 DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning CVPR 2024 E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection NeurIPS 2024 E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning AAAI 2024 E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation ECCV 2024 EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation CVPR 2024 Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing AAAI 2024 Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model AAAI 2024 EarthLoc: Astronaut Photography Localization by Indexing Earth from Space CVPR 2024