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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)

Noisy Correspondence Learning With Meta Similarity Correction CVPR 2023 Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis EMNLP 2023 Noisy Pair Corrector for Dense Retrieval EMNLP 2023 Noisy Self-Training with Synthetic Queries for Dense Retrieval EMNLP 2023 NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs CVPR 2023 NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing ACL 2023 Non-Autoregressive Math Word Problem Solver with Unified Tree Structure EMNLP 2023 Non-Contrastive Learning Meets Language-Image Pre-Training CVPR 2023 Non-Contrastive Unsupervised Learning of Physiological Signals From Video CVPR 2023 Non-IID Transfer Learning on Graphs AAAI 2023 Non-parallel Accent Transfer based on Fine-grained Controllable Accent Modelling EMNLP 2023 Non-Sequential Graph Script Induction via Multimedia Grounding ACL 2023 No One Left Behind: Improving the Worst Categories in Long-Tailed Learning CVPR 2023 Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection WACV 2023 Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection CVPR 2023 North Sámi Dialect Identification with Self-supervised Speech Models Interspeech 2023 Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning EMNLP 2023 Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization ICML 2023 “Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion AAAI 2023 No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models NeurIPS 2023 Novel Class Discovery for 3D Point Cloud Semantic Segmentation CVPR 2023 Novel-View Acoustic Synthesis CVPR 2023 NusaCrowd: Open Source Initiative for Indonesian NLP Resources ACL 2023 NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data EMNLP 2023 OASum: Large-Scale Open Domain Aspect-based Summarization ACL 2023