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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)

Contour Integration Underlies Human-Like Vision ICML 2025 Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D EMNLP 2025 Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery ICLR 2025 Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs AAAI 2025 Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer IJCAI 2025 Contrastive Flow Matching ICCV 2025 Contrastive Learning-based Syllable-Level Mispronunciation Detection and Diagnosis for Speech Audiometry Interspeech 2025 Contrastive Learning for Task-Independent SpeechLLM-Pretraining ACL 2025 Contrastive Learning of Image Representations Guided by Spatial Relations WACV 2025 Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing ACL 2025 Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry EMNLP 2025 Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder AAAI 2025 Contrastive Patient-level Pretraining Enables Longitudinal and Multimodal Fusion for Lung Cancer Risk Prediction MIDL 2025 Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models ACL 2025 Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering ACL 2025 Contrastive Representation for Interactive Recommendation AAAI 2025 Contrastive Sequential-Diffusion Learning: Non-Linear and Multi-Scene Instructional Video Synthesis WACV 2025 Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation ICCV 2025 Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models ACL 2025 Controlling Language Confusion in Multilingual LLMs ACL 2025 Controlling Participation in Federated Learning with Feedback L4DC 2025 ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control ACL 2025 Convergence of Distributed Adaptive Optimization with Local Updates ICLR 2025 Convolutional LoRA Aggregation for Unseen Tasks Adaptation EMNLP 2025 Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography ICCV 2025