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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 a visuomotor controller for real world robotic grasping using simulated depth images CoRL 2017 Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images CVPR 2017 Learning Character-level Compositionality with Visual Features ACL 2017 Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network ACL 2017 Learning Combinatorial Optimization Algorithms over Graphs NeurIPS 2017 Learning Cross-Modal Embeddings for Cooking Recipes and Food Images CVPR 2017 Learning Deep CNN Denoiser Prior for Image Restoration CVPR 2017 Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification CVPR 2017 Learning Deep Semantic Embeddings for Cross-Modal Retrieval ACML 2017 Learning deep structured network for weakly supervised change detection IJCAI 2017 Learning Detailed Face Reconstruction From a Single Image CVPR 2017 Learning Discriminative and Transformation Covariant Local Feature Detectors CVPR 2017 Learning Disentangled Representations with Semi-Supervised Deep Generative Models NeurIPS 2017 Learning Dynamic Guidance for Depth Image Enhancement CVPR 2017 Learning Efficient Object Detection Models with Knowledge Distillation NeurIPS 2017 Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation CoRL 2017 Learning Fine-grained Relations from Chinese User Generated Categories EMNLP 2017 Learning From Simulated and Unsupervised Images Through Adversarial Training CVPR 2017 Learning From Synthetic Humans CVPR 2017 Learning Generic Sentence Representations Using Convolutional Neural Networks EMNLP 2017 Learning Hierarchical Information Flow with Recurrent Neural Modules NeurIPS 2017 Learning Language Representations for Typology Prediction EMNLP 2017 Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks CVPR 2017 Learning Multiple Tasks with Multilinear Relationship Networks NeurIPS 2017 Learning multiple visual domains with residual adapters NeurIPS 2017