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Learning Types

32,670 papers (1 classified directly here)

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)
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Papers (including subtopics)

NBDESCRIB: A Dataset for Text Description Generation from Tables and Code in Jupyter Notebooks with Guidelines ACL 2025 Nearly Optimal Differentially Private ReLU Regression UAI 2025 Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings ACL 2025 Negative-Prompt Inversion: Fast Image Inversion for Editing with Text-Guided Diffusion Models WACV 2025 NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval CVPR 2025 NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model ACL 2025 NETracer: A Topology-Aware Iterative Tracing Approach for Tubular Structure Extraction ICCV 2025 NetSafe: Exploring the Topological Safety of Multi-agent System ACL 2025 Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images AAAI 2025 Neural Collapse Inspired Knowledge Distillation AAAI 2025 Neural Combinatorial Clustered Bandits for Recommendation Systems AAAI 2025 Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems AAAI 2025 Neural Conformal Control for Time Series Forecasting AAAI 2025 Neural Encoding and Decoding at Scale ICML 2025 NeuralFlix: A Simple While Effective Framework for Semantic Decoding of Videos from Non-invasive Brain Recordings AAAI 2025 Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models ACL 2025 Neural Inverse Rendering for High-Accuracy 3D Measurement of Moving Objects with Fewer Phase-Shifting Patterns ICCV 2025 Neural Models for Lemmatization and POS-Tagging of Earlier and Late Egyptian (Supporting Hieroglyphic Input) and Demotic NAACL 2025 Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning CVPR 2025 Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion ICLR 2025 NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors ACL 2025 Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems L4DC 2025 Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025 Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs AAAI 2025 Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality COLING 2025