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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)

Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs EMNLP 2025 SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking CVPR 2025 Spoken Conversational Agents with Large Language Models EMNLP 2025 Spoken Language Understanding on Unseen Tasks With In-Context Learning Interspeech 2025 Spot and Merge: A Hybrid Context Biasing Approach for Rare Word and Out of Vocabulary Recognition Interspeech 2025 SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration AAAI 2025 Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization EMNLP 2025 SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin EMNLP 2025 SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network AAAI 2025 SPvR: Structured Pruning via Ranking UAI 2025 SQ-AST: A Transformer-Based Model for Speech Quality Prediction Interspeech 2025 SQLForge: Synthesizing Reliable and Diverse Data to Enhance Text-to-SQL Reasoning in LLMs ACL 2025 SQL Injection Jailbreak: A Structural Disaster of Large Language Models ACL 2025 SQLSpace: A Representation Space for Text-to-SQL to Discover and Mitigate Robustness Gaps EMNLP 2025 SQUiD: Synthesizing Relational Databases from Unstructured Text EMNLP 2025 SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning EMNLP 2025 S-RAG: A Novel Audit Framework for Detecting Unauthorized Use of Personal Data in RAG Systems ACL 2025 SSF-DST: A Spectro-Spatial Features Enhanced Deep Spatiotemporal Network for EEG-Based Auditory Attention Detection Interspeech 2025 SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection AAAI 2025 SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction AAAI 2025 SSNTrio @ DravidianLangTech 2025: Hybrid Approach for Hate Speech Detection in Dravidian Languages with Text and Audio Modalities NAACL 2025 SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning ICLR 2025 SSPS: Self-Supervised Positive Sampling for Robust Self-Supervised Speaker Verification Interspeech 2025 SSR: Alignment-Aware Modality Connector for Speech Language Models ACL 2025 Stabilizing Holistic Semantics in Diffusion Bridge for Image Inpainting IJCAI 2025