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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)

UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2 AAAI 2021 U-BERT: Pre-training User Representations for Improved Recommendation AAAI 2021 UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training CVPR 2021 UCB Momentum Q-learning: Correcting the bias without forgetting ICML 2021 UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis NeurIPS 2021 Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning CVPR 2021 Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval EMNLP 2021 UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning ACL 2021 Unbiased Mean Teacher for Cross-Domain Object Detection CVPR 2021 Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces CVPR 2021 Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021 Uncertainty-Aware Multi-View Representation Learning AAAI 2021 Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021 Uncertainty-Driven Loss for Single Image Super-Resolution NeurIPS 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021 Uncertainty Reduction for Model Adaptation in Semantic Segmentation CVPR 2021 Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning ACL 2021 Understanding and Improving Early Stopping for Learning with Noisy Labels NeurIPS 2021 Understanding Model Robustness to User-generated Noisy Texts EMNLP 2021 Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021 Understanding Robustness of Transformers for Image Classification ICCV 2021 Understanding the Behaviour of Contrastive Loss CVPR 2021 Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack CVPR 2021 Unified Source-Filter GAN: Unified Source-Filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN Interspeech 2021