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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)

Clink! Chop! Thud! - Learning Object Sounds from Real-World Interactions ICCV 2025 CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination AAAI 2025 CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification AAAI 2025 CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP ACL 2025 CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation ICCV 2025 CLIP-Fusion: A Spatio-Temporal Quality Metric for Frame Interpolation WACV 2025 CLIP-GS: Unifying Vision-Language Representation with 3D Gaussian Splatting ICCV 2025 CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR CVPR 2025 CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment AAAI 2025 CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing EMNLP 2025 CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification AAAI 2025 CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss CVPR 2025 Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models CVPR 2025 Closest Neighbors are Harmful for Lightweight Masked Auto-encoders CVPR 2025 Closing the Domain Gap in Manga Colorization via Aligned Paired Dataset WACV 2025 Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning AAAI 2025 Clustered Invariant Risk Minimization AISTATS 2025 Cluster-guided Contrastive Class-imbalanced Graph Classification AAAI 2025 Clustering-based Hard Negative Sampling for Supervised Contrastive Speaker Verification Interspeech 2025 Clustering Properties of Self-Supervised Learning ICML 2025 CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets WACV 2025 CMSP-ST: Cross-modal Mixup with Speech Purification for End-to-End Speech Translation Interspeech 2025 CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation ICCV 2025 CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models AAAI 2025 CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection AAAI 2025