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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU EMNLP 2021 CTAB-GAN: Effective Table Data Synthesizing ACML 2021 CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations EMNLP 2021 CT-Net: Complementary Transfering Network for Garment Transfer With Arbitrary Geometric Changes CVPR 2021 CTS2: Time Series Smoothing with Constrained Reinforcement Learning ACML 2021 CuCo: Graph Representation with Curriculum Contrastive Learning IJCAI 2021 CUNI Systems for WMT21: Terminology Translation Shared Task EMNLP 2021 CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT EMNLP 2021 Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation CVPR 2021 Curriculum Learning for Vision-and-Language Navigation NeurIPS 2021 Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021 cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE EMNLP 2021 CutPaste: Self-Supervised Learning for Anomaly Detection and Localization CVPR 2021 CVC: Contrastive Learning for Non-Parallel Voice Conversion Interspeech 2021 Cycle Self-Training for Domain Adaptation NeurIPS 2021 Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation CVPR 2021 D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations ICCV 2021 DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection ACL 2021 DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation CVPR 2021 DAP: Detection-Aware Pre-Training With Weak Supervision CVPR 2021 DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training AAAI 2021 DASZL: Dynamic Action Signatures for Zero-shot Learning AAAI 2021 Data Augmentation for Graph Neural Networks AAAI 2021 Data Augmentation for Text Generation Without Any Augmented Data ACL 2021 Data Augmentation with Adversarial Training for Cross-Lingual NLI ACL 2021