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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)

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents ACL 2025 AxLSTMs: learning self-supervised audio representations with xLSTMs Interspeech 2025 Backdoor Attack on Propagation-based Rumor Detectors AAAI 2025 Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger AAAI 2025 Backdoor Attacks on Neural Networks via One-Bit Flip ICCV 2025 Backdooring Self-Supervised Contrastive Learning by Noisy Alignment ICCV 2025 Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models AAAI 2025 Background-Aware Moment Detection for Video Moment Retrieval WACV 2025 Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts AAAI 2025 BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing ICML 2025 Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models EMNLP 2025 Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation ACL 2025 Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs NAACL 2025 Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion ICCV 2025 Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models EMNLP 2025 Balls-and-Bins Sampling for DP-SGD AISTATS 2025 Band-Split Self-supervised Mamba for Infant-centered Audio Analysis Interspeech 2025 BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models ICCV 2025 Basic Reading Distillation ACL 2025 Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations AAAI 2025 Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models NAACL 2025 Bayesian-Inspired Space-Time Superpixels ICCV 2025 Bayesian Principles Improve Prompt Learning In Vision-Language Models AISTATS 2025 Bayesian WeakS-to-Strong from Text Classification to Generation ICLR 2025 BayesKD: Bayesian Knowledge Distillation for Compact LLMs in Constrained Fine-tuning Scenarios ACL 2025