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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)

Global-Semantic Alignment Distillation for Partial Multi-view Classification AAAI 2025 GMAP: Generalized Manipulation of Articulated Objects in Robotic Using Pre-trained Model AAAI 2025 GMU Systems for the IWSLT 2025 Low-Resource Speech Translation Shared Task ACL 2025 GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning AAAI 2025 GOAL: Global-local Object Alignment Learning CVPR 2025 GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction AAAI 2025 GOLFer: Smaller LMs-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval ACL 2025 GOODLIAR: A Reinforcement Learning-Based Deceptive Agent for Disrupting LLM Beliefs on Foundational Principles ACL 2025 GoP2Vec: A few shot learning for pronunciation assessment with goodness of pronunciation (GoP) based representations from an i-vector framework and augmentation Interspeech 2025 Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data ICCV 2025 GQC: LLM-Based Grouped QA Consolidation for Open-Domain Fact Verification at AVeriTeC ACL 2025 GRADA: Graph-based Reranking against Adversarial Documents Attack EMNLP 2025 Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation AAAI 2025 Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations AAAI 2025 Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation AAAI 2025 Gradient Flush at Slavic NLP 2025 Task: Leveraging Slavic BERT and Translation for Persuasion Techniques Classification ACL 2025 Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing AAAI 2025 Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning CVPR 2025 Gradient Weight-normalized Low-rank Projection for Efficient LLM Training AAAI 2025 Gradual modeling of the Lombard effect by modifying speaker embeddings from a Text-To-Speech model Interspeech 2025 GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation NAACL 2025 GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning ACL 2025 GRAMMAR-LLM: Grammar-Constrained Natural Language Generation ACL 2025 GRaMPa: Subword Regularisation by Skewing Uniform Segmentation Distributions with an Efficient Path-counting Markov Model ACL 2025 Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience AAAI 2025