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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
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'25

Papers (including subtopics)

Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching EMNLP 2019 Orthogonality-Promoting Dictionary Learning via Bayesian Inference AAAI 2019 Our Neural Machine Translation Systems for WAT 2019 EMNLP 2019 Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition CVPR 2019 Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019 Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution AAAI 2019 Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction CVPR 2019 P2SGrad: Refined Gradients for Optimizing Deep Face Models CVPR 2019 PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation ACL 2019 PaperRobot: Incremental Draft Generation of Scientific Ideas ACL 2019 Parallel Iterative Edit Models for Local Sequence Transduction EMNLP 2019 Parallel Optimal Transport GAN CVPR 2019 Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning AAAI 2019 Parameter-free Sentence Embedding via Orthogonal Basis EMNLP 2019 Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019 Paraphrase Diversification Using Counterfactual Debiasing AAAI 2019 Paraphrases as Foreign Languages in Multilingual Neural Machine Translation ACL 2019 Paraphrasing with Large Language Models EMNLP 2019 Parsing R-CNN for Instance-Level Human Analysis CVPR 2019 Partners in Crime: Multi-view Sequential Inference for Movie Understanding EMNLP 2019 Part-Regularized Near-Duplicate Vehicle Re-Identification CVPR 2019 Passive Diagnosis Incorporating the PHQ-4 for Depression and Anxiety ACL 2019 Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification CVPR 2019 Patch-Based Progressive 3D Point Set Upsampling CVPR 2019 PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees ICLR 2019