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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)

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025 EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation AAAI 2025 EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions AAAI 2025 EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance CVPR 2025 EcoDoc: A Cost-Efficient Multimodal Document Processing System for Enterprises Using LLMs ACL 2025 EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025 ECom-Bench: Can LLM Agent Resolve Real-World E-commerce Customer Support Issues? EMNLP 2025 ECoRAG: Evidentiality-guided Compression for Long Context RAG ACL 2025 EDAR: A pipeline for Emotion and Dialogue Act Recognition COLING 2025 EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation CVPR 2025 EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar AAAI 2025 Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model AAAI 2025 EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025 Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing CVPR 2025 EditCLIP: Representation Learning for Image Editing ICCV 2025 EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits ACL 2025 EduVidQA: Generating and Evaluating Long-form Answers to Student Questions based on Lecture Videos EMNLP 2025 EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark CVPR 2025 EEGMirror: Leveraging EEG Data in the Wild via Montage-Agnostic Self-Supervision for EEG to Video Decoding ICCV 2025 EERO: Early Exit with Reject Option for Efficient Classification with limited budget UAI 2025 Effective and Efficient Representation Learning for Flight Trajectories AAAI 2025 Effective Context in Neural Speech Models Interspeech 2025 Effective Disjoint Representational Learning for Anatomical Segmentation MIDL 2025 Effectively combining Phi-4 and NLLB for Spoken Language Translation: SPRING Lab IITM’s submission to Low Resource Multilingual Indic Track ACL 2025 Effective Multi-Task Learning for Biomedical Named Entity Recognition ACL 2025