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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)

Improving Low-Resource Morphological Inflection via Self-Supervised Objectives ACL 2025 Improving Multilingual Speech Models on ML-SUPERB 2.0: Fine-tuning with Data Augmentation and LID-Aware CTC Interspeech 2025 Improving Multimodal Learning Balance and Sufficiency through Data Remixing ICML 2025 Improving Named Entity Recognition for Low-Resource Languages Using Large Language Models: A Ukrainian Case Study ACL 2025 Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AAAI 2025 Improving Online Job Advertisement Analysis via Compositional Entity Extraction EMNLP 2025 Improving Out-of-Distribution Detection via Dynamic Covariance Calibration ICML 2025 Improving Pelvic MR-CT Image Alignment with Self-Supervised Reference-Augmented Pseudo-CT Generation Framework WACV 2025 Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization AISTATS 2025 Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles Interspeech 2025 Improving Retrieval Augmented Language Model with Self-Reasoning AAAI 2025 Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations EMNLP 2025 Improving Sentiment Analysis for Ukrainian Social Media Code-Switching Data ACL 2025 Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model Interspeech 2025 Improving Synthetic Data Training for Contextual Biasing Models with a Keyword-Aware Cost Function Interspeech 2025 Improving Table Retrieval with Question Generation from Partial Tables ACL 2025 Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs EMNLP 2025 Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics ACL 2025 Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation CVPR 2025 Improving Transferable Targeted Attacks with Feature Tuning Mixup CVPR 2025 Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration CVPR 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices ICML 2025 Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning CVPR 2025 In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images AAAI 2025 iN2V: Bringing Transductive Node Embeddings to Inductive Graphs ICML 2025