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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)

Optimizing Automatic Differentiation with Deep Reinforcement Learning NeurIPS 2024 Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach EMNLP 2024 Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models EMNLP 2024 Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024 Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach EMNLP 2024 Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks NeurIPS 2024 Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation CVPR 2024 Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism ACML 2024 Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling NeurIPS 2024 Order-Independence Without Fine Tuning NeurIPS 2024 Order-Preserving GFlowNets ICLR 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 Orthogonal Adaptation for Modular Customization of Diffusion Models CVPR 2024 Orthogonal Dictionary Guided Shape Completion Network for Point Cloud AAAI 2024 OSX at Context24: How Well Can GPT Tackle Contexualizing Scientific Figures and Tables ACL 2024 OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation WACV 2024 OTMatch: Improving Semi-Supervised Learning with Optimal Transport ICML 2024 Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024 Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024 Out-of-Distribution Detection with a Single Unconditional Diffusion Model NeurIPS 2024 Out-Of-Distribution Detection with Diversification (Provably) NeurIPS 2024 Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift ICML 2024 Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation AAAI 2024 OVeNet: Offset Vector Network for Semantic Segmentation WACV 2024 Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection ECCV 2024