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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)

Mask-Guided Matting in the Wild CVPR 2023 Massively Multilingual Lexical Specialization of Multilingual Transformers ACL 2023 Mass-Producing Failures of Multimodal Systems with Language Models NeurIPS 2023 Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer CVPR 2023 Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation CVPR 2023 Matching Latent Encoding for Audio-Text based Keyword Spotting Interspeech 2023 MathNAS: If Blocks Have a Role in Mathematical Architecture Design NeurIPS 2023 Mavericks at ArAIEval Shared Task: Towards a Safer Digital Space - Transformer Ensemble Models Tackling Deception and Persuasion EMNLP 2023 Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models ACL 2023 MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation CVPR 2023 MCLF: A Multi-grained Contrastive Learning Framework for ASR-robust Spoken Language Understanding EMNLP 2023 mCLIP: Multilingual CLIP via Cross-lingual Transfer ACL 2023 MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER AAAI 2023 MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages EACL 2023 MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition ICCV 2023 mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra Interspeech 2023 Measure Children’s Mindreading Ability with Machine Reading EMNLP 2023 Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing EMNLP 2023 Measuring and Narrowing the Compositionality Gap in Language Models EMNLP 2023 Measuring Pointwise 𝒱-Usable Information In-Context-ly EMNLP 2023 Measuring Progress in Fine-grained Vision-and-Language Understanding ACL 2023 Measuring the Instability of Fine-Tuning ACL 2023 MECTA: Memory-Economic Continual Test-Time Model Adaptation ICLR 2023 Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts AAAI 2023 MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY ICLR 2023