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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)

Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring ICML 2024 Learning Spatially-Aware Language and Audio Embeddings NeurIPS 2024 Learning Structured Representations with Hyperbolic Embeddings NeurIPS 2024 Learning Subject-Aware Cropping by Outpainting Professional Photos AAAI 2024 Learning Successor Features the Simple Way NeurIPS 2024 Learning symmetries via weight-sharing with doubly stochastic tensors NeurIPS 2024 Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection AAAI 2024 Learning the 3D Fauna of the Web CVPR 2024 Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning ECCV 2024 Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation AAAI 2024 Learning to Approximate Adaptive Kernel Convolution on Graphs AAAI 2024 Learning to Ask Denotative and Connotative Questions for Knowledge-based VQA EMNLP 2024 Learning to Assist Humans without Inferring Rewards NeurIPS 2024 Learning to compute Gröbner bases NeurIPS 2024 Learning to Control Camera Exposure via Reinforcement Learning CVPR 2024 Learning to Correct for QA Reasoning with Black-box LLMs EMNLP 2024 Learning to Count without Annotations CVPR 2024 Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation ACL 2024 Learning To Generate Training Datasets for Robust Semantic Segmentation WACV 2024 Learning to Jointly Understand Visual and Tactile Signals ICLR 2024 Learning to Learn Better Visual Prompts AAAI 2024 Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs CVPR 2024 Learning to Manipulate Artistic Images AAAI 2024 Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System EMNLP 2024 Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning AAAI 2024