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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)

Inceptive Transformers: Enhancing Contextual Representations through Multi-Scale Feature Learning Across Domains and Languages EMNLP 2025 Incepto@DravidianLangTech 2025: Detecting Abusive Tamil and Malayalam Text Targeting Women on YouTube NAACL 2025 Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis AAAI 2025 Incomplete Multi-view Clustering via Diffusion Contrastive Generation AAAI 2025 Incongruity-aware Tension Field Network for Multi-modal Sarcasm Detection ACL 2025 In-Context Deep Learning via Transformer Models ICML 2025 In-context Language Learning for Endangered Languages in Speech Recognition Interspeech 2025 In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning ACL 2025 In-Context Meta LoRA Generation IJCAI 2025 In-Context Policy Adaptation via Cross-Domain Skill Diffusion AAAI 2025 In-context Prompt-augmented Micro-video Popularity Prediction AAAI 2025 Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback EMNLP 2025 IndicSynth: A Large-Scale Multilingual Synthetic Speech Dataset for Low-Resource Indian Languages ACL 2025 indiDataMiner at SemEval-2025 Task 11: From Text to Emotion: Transformer-Based Models for Emotions Detection in Indian Languages SemEval 2025 IndiGEC: Multilingual Grammar Error Correction for Low-Resource Indian Languages EMNLP 2025 In-Domain African Languages Translation Using LLMs and Multi-armed Bandits ACL 2025 Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multi-scale Feature Fusion and Attention Enhancement Interspeech 2025 Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications CVPR 2025 Inference-Time Diffusion Model Distillation ICCV 2025 Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning CVPR 2025 InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning EMNLP 2025 Infinite Width Limits of Self Supervised Neural Networks AISTATS 2025 Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack AAAI 2025 Influence-Guided Diffusion for Dataset Distillation ICLR 2025 Info-Coevolution: An Efficient Framework for Data Model Coevolution ICML 2025