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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)

Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation IJCAI 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NeurIPS 2024 Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting NeurIPS 2024 Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space CVPR 2024 Rethinking Graph Masked Autoencoders through Alignment and Uniformity AAAI 2024 Rethinking Imbalance in Image Super-Resolution for Efficient Inference NeurIPS 2024 Rethinking Inductive Biases for Surface Normal Estimation CVPR 2024 Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts CVPR 2024 Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking AAAI 2024 Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective NeurIPS 2024 Rethinking Multi-view Representation Learning via Distilled Disentangling CVPR 2024 Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation CVPR 2024 Rethinking Reverse Distillation for Multi-Modal Anomaly Detection AAAI 2024 Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024 Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NeurIPS 2024 Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks NeurIPS 2024 Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis CVPR 2024 Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation AAAI 2024 Rethinking the Role of Proxy Rewards in Language Model Alignment EMNLP 2024 Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery CVPR 2024 Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point AAAI 2024 Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NeurIPS 2024 Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft EMNLP 2024 Retrieval-Augmented Egocentric Video Captioning CVPR 2024