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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)

Training Your Image Restoration Network Better with Random Weight Network as Optimization Function NeurIPS 2023 Train-Once-for-All Personalization CVPR 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NeurIPS 2023 Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients ICCV 2023 Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization CVPR 2023 Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations AAAI 2023 Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization Interspeech 2023 Transfer NAS with Meta-learned Bayesian Surrogates ICLR 2023 Transformed Distribution Matching for Missing Value Imputation ICML 2023 Transformer-based Hebrew NLP models for Short Answer Scoring in Biology ACL 2023 Transformer Language Models Handle Word Frequency in Prediction Head ACL 2023 TransGEC: Improving Grammatical Error Correction with Translationese ACL 2023 TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification CVPR 2023 TransHP: Image Classification with Hierarchical Prompting NeurIPS 2023 Transitioning Representations between Languages for Cross-lingual Event Detection via Langevin Dynamics EMNLP 2023 Translation-Enhanced Multilingual Text-to-Image Generation ACL 2023 TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception ICCV 2023 Tree-Based Representation and Generation of Natural and Mathematical Language ACL 2023 Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models EMNLP 2023 TridentSE: Guiding Speech Enhancement with 32 Global Tokens Interspeech 2023 TRIP: Accelerating Document-level Multilingual Pre-training via Triangular Document-level Pre-training on Parallel Data Triplets EMNLP 2023 Triplet-Free Knowledge-Guided Response Generation ACL 2023 trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023 TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization ICCV 2023 TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets CVPR 2023