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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)

Sentiment Reasoning for Healthcare ACL 2025 SEP: A General Lossless Compression Framework with Semantics Enhancement and Multi-Stream Pipelines IJCAI 2025 Separating Knowledge and Perception with Procedural Data ICML 2025 SepVAC: Multitask Learning of Speaker Separation, Speaker Localization, Microphone Array Localization, and Room Acoustic Parameter Estimation in Various Acoustic Conditions Interspeech 2025 Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding CVPR 2025 SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters NAACL 2025 SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning CVPR 2025 Sequence Matters: Harnessing Video Models in 3D Super-Resolution AAAI 2025 Sequence models for continuous cell cycle stage prediction from brightfield images MIDL 2025 Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback AAAI 2025 Sequential Joint Dependency Aware Human Pose Estimation with State Space Model AAAI 2025 Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling AAAI 2025 Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning ICLR 2025 SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins ICLR 2025 Serial Lifelong Editing via Mixture of Knowledge Experts ACL 2025 SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding CVPR 2025 SET: Spectral Enhancement for Tiny Object Detection CVPR 2025 Set Valued Predictions For Robust Domain Generalization ICML 2025 SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding CVPR 2025 SFAL: Semantic-Functional Alignment Scores for Distributional Evaluation of Auto-Interpretability in Sparse Autoencoders EMNLP 2025 SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection CVPR 2025 SGIC: A Self-Guided Iterative Calibration Framework for RAG ACL 2025 SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation AAAI 2025 SHA256 at SemEval-2025 Task 4: Selective Amnesia – Constrained Unlearning for Large Language Models via Knowledge Isolation SemEval 2025 Shadow-Activated Backdoor Attacks on Multimodal Large Language Models ACL 2025