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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)

Tracking Semantic Shifts in German Court Decisions with Diachronic Word Embeddings EMNLP 2022 Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders NeurIPS 2022 Trading off Utility, Informativeness, and Complexity in Emergent Communication NeurIPS 2022 TRAIL: Near-Optimal Imitation Learning with Suboptimal Data ICLR 2022 Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four ICML 2022 Training Data Generation with DOA-based Selecting and Remixing for Unsupervised Training of Deep Separation Models Interspeech 2022 Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data ACL 2022 Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU EMNLP 2022 Training Dynamics for Text Summarization Models ACL 2022 Training language models to follow instructions with human feedback NeurIPS 2022 Training Language Models with Memory Augmentation EMNLP 2022 Training Object Detectors From Scratch: An Empirical Study in the Era of Vision Transformer CVPR 2022 Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis AAAI 2022 Training speaker recognition systems with limited data Interspeech 2022 Training Spiking Neural Networks with Event-driven Backpropagation NeurIPS 2022 Training stochastic stabilized supralinear networks by dynamics-neutral growth NeurIPS 2022 Training Uncertainty-Aware Classifiers with Conformalized Deep Learning NeurIPS 2022 Training with More Confidence: Mitigating Injected and Natural Backdoors During Training NeurIPS 2022 Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline NeurIPS 2022 Trajectory Optimization for Physics-Based Reconstruction of 3D Human Pose From Monocular Video CVPR 2022 TransBoost: Improving the Best ImageNet Performance using Deep Transduction NeurIPS 2022 Transcoded Video Restoration by Temporal Spatial Auxiliary Network AAAI 2022 Transcribing Natural Languages for the Deaf via Neural Editing Programs AAAI 2022 Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text ACL 2022 Transfer Learning for Color Constancy via Statistic Perspective AAAI 2022