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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)

Instruction-Tuned English to Bhojpuri Neural Machine Translation Using Contrastive Preference Optimization EMNLP 2025 Instruction-tuned QwenChart for Chart Question Answering ACL 2025 Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction ACL 2025 Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh ACL 2025 InstructOCR: Instruction Boosting Scene Text Spotting AAAI 2025 Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning AAAI 2025 InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series AAAI 2025 Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily AAAI 2025 Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation AAAI 2025 Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning AAAI 2025 Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning ICCV 2025 Intelligent OPC Engineer Assistant for Semiconductor Manufacturing AAAI 2025 IntentionFrame: A Semi-Structured, Multi-Aspect Framework for Fine-Grained Conversational Intention Understanding EMNLP 2025 Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation ACL 2025 InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing CVPR 2025 INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models ACL 2025 Interactive and Expressive Code-Augmented Planning with Large Language Models ACL 2025 Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models ACL 2025 Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline CVPR 2025 Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence ICML 2025 Interleaved-Modal Chain-of-Thought CVPR 2025 InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions CVPR 2025 InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model ACL 2025 Interpretable Failure Detection with Human-Level Concepts AAAI 2025 Interpretable Text Embeddings and Text Similarity Explanation: A Survey EMNLP 2025