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)

Length Aware Speech Translation for Video Dubbing Interspeech 2025 Length Controlled Generation for Black-box LLMs ACL 2025 LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts EMNLP 2025 LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging CVPR 2025 Less Can be More: An Empirical Evaluation of Small and Large Language Models for Sentence-level Claim Detection ACL 2025 Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation ACL 2025 Less Mature is More Adaptable for Sentence-level Language Modeling ACL 2025 Lessons Learned in Assessing Student Reflections with LLMs ACL 2025 Lessons Learnt: Revisit Key Training Strategies for Effective Speech Emotion Recognition in the Wild Interspeech 2025 Let Modalities Teach Each Other: Modal-Collaborative Knowledge Extraction and Fusion for Multimodal Knowledge Graph Completion NAACL 2025 Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025 LETS-C: Leveraging Text Embedding for Time Series Classification ACL 2025 LETS Forecast: Learning Embedology for Time Series Forecasting ICML 2025 Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment Interspeech 2025 Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs AAAI 2025 Leveraging Cascaded Binary Classification and Multimodal Fusion for Dementia Detection through Spontaneous Speech Interspeech 2025 Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning AAAI 2025 Leveraging Context for Multimodal Fallacy Classification in Political Debates ACL 2025 Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization AAAI 2025 Leveraging Frozen Batch Normalization for Co-Training in Source-Free Domain Adaptation AISTATS 2025 Leveraging Geographic Metadata for Dialect-Aware Speech Recognition Interspeech 2025 Leveraging Human Production-Interpretation Asymmetries to Test LLM Cognitive Plausibility ACL 2025 Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs AAAI 2025 Leveraging Large Language Models for Spanish-Indigenous Language Machine Translation at AmericasNLP 2025 NAACL 2025 Leveraging Large Models to Evaluate Novel Content: A Case Study on Advertisement Creativity EMNLP 2025