Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Empowering GraphRAG with Knowledge Filtering and Integration EMNLP 2025 Empowering Large Language Models for End-to-End Speech Translation Leveraging Synthetic Data Interspeech 2025 Empowering Math Problem Generation and Reasoning for Large Language Model via Synthetic Data based Continual Learning Framework EMNLP 2025 Empowering Persuasion Detection in Slavic Texts through Two-Stage Generative Reasoning ACL 2025 Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst AAAI 2025 Enabling Chatbots with Eyes and Ears: An Immersive Multimodal Conversation System for Dynamic Interactions ACL 2025 Enabling Visual Foundation Models to Teach Compact Students via Mixture of Distillation IJCAI 2025 ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks ICML 2025 EnCodecMAE: leveraging neural codecs for universal audio representation learning Interspeech 2025 Encoder-Aware Sequence-Level Knowledge Distillation for Low-Resource Neural Machine Translation NAACL 2025 ENCODER: Entity Mining and Modification Relation Binding for Composed Image Retrieval AAAI 2025 Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning EMNLP 2025 END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions AAAI 2025 End-to-End Autonomous Driving Through V2X Cooperation AAAI 2025 End-to-End Diarization utilizing Attractor Deep Clustering Interspeech 2025 End-to-End Driving with Online Trajectory Evaluation via BEV World Model ICCV 2025 End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation EMNLP 2025 End-to-End Speech Translation for Low-Resource Languages Using Weakly Labeled Data Interspeech 2025 EnerGIZAr: Leveraging GIZA++ for Effective Tokenizer Initialization ACL 2025 Energy-Based Diffusion Language Models for Text Generation ICLR 2025 EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space CVPR 2025 Enhanced Blind Image Restoration with Channel Attention Transformers and Multi-Scale Attention Prompt-based Learning ACML 2025 Enhanced Noun-Noun Compound Interpretation through Textual Enrichment EMNLP 2025 Enhance Vision-Language Alignment with Noise AAAI 2025 Enhancing Acoustic-to-Articulatory Inversion with Multi-Target Pretraining for Low-Resource Settings Interspeech 2025