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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)

Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels CVPR 2020 Large Scale Video Representation Learning via Relational Graph Clustering CVPR 2020 LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation CVPR 2020 Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction AAAI 2020 Latent Relation Language Models AAAI 2020 Latent World Models For Intrinsically Motivated Exploration NeurIPS 2020 LatRec: Recognizing Goals in Latent Space (Student Abstract) AAAI 2020 Laughter Synthesis: Combining Seq2seq Modeling with Transfer Learning Interspeech 2020 Layout-Aware Text Representations Harm Clustering Documents by Type EMNLP 2020 Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? EMNLP 2020 Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract) AAAI 2020 Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness CVPR 2020 Learn a Global Appearance Semi-Supervisedly for Synthesizing Person Images WACV 2020 Learned Video Compression via Joint Spatial-Temporal Correlation Exploration AAAI 2020 Learning a Dynamic Map of Visual Appearance CVPR 2020 Learning Agent Communication under Limited Bandwidth by Message Pruning AAAI 2020 Learning Agile Robotic Locomotion Skills by Imitating Animals RSS 2020 Learning a Multi-Domain Curriculum for Neural Machine Translation ACL 2020 Learning a Neural Solver for Multiple Object Tracking CVPR 2020 Learning Architectures from an Extended Search Space for Language Modeling ACL 2020 Learning a Reinforced Agent for Flexible Exposure Bracketing Selection CVPR 2020 Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks EMNLP 2020 Learning Attentive Pairwise Interaction for Fine-Grained Classification AAAI 2020 Learning Augmentation Network via Influence Functions CVPR 2020 Learning a Unified Sample Weighting Network for Object Detection CVPR 2020