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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)

Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks L4DC 2022 Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints NAACL 2022 Nested Collaborative Learning for Long-Tailed Visual Recognition CVPR 2022 NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract) AAAI 2022 Neural Attentive Circuits NeurIPS 2022 Neural Circuit Architectural Priors for Embodied Control NeurIPS 2022 Neural Compression-Based Feature Learning for Video Restoration CVPR 2022 Neural Estimation of Statistical Divergences JMLR 2022 Neural graphical modelling in continuous-time: consistency guarantees and algorithms ICLR 2022 Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization ACL 2022 Neural Machine Translation with Contrastive Translation Memories EMNLP 2022 Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video AAAI 2022 Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data ICLR 2022 Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture CVPR 2022 Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments Interspeech 2022 Neural Networks Classify through the Class-Wise Means of Their Representations AAAI 2022 Neural PCA for Flow-Based Representation Learning IJCAI 2022 Neural Piecewise-Constant Delay Differential Equations AAAI 2022 Neural Pipeline for Zero-Shot Data-to-Text Generation ACL 2022 Neural Prior for Trajectory Estimation CVPR 2022 Neural Reflectance for Shape Recovery With Shadow Handling CVPR 2022 Neural Relational Inference with Node-Specific Information ICLR 2022 Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions NeurIPS 2022 Neural Shape Mating: Self-Supervised Object Assembly With Adversarial Shape Priors CVPR 2022 Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification EMNLP 2022