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)

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025 ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning ICLR 2025 A Diachronic Analysis of Human and Model Predictions on Audience Gender in How-to Guides ACL 2025 ADIEE: Automatic Dataset Creation and Scorer for Instruction-Guided Image Editing Evaluation ICCV 2025 AD-LLM: Benchmarking Large Language Models for Anomaly Detection ACL 2025 A Domain Robust Pre-Training Method with Local Prototypes for Speaker Verification Interspeech 2025 Advances in Auto-Grading with Large Language Models: A Cross-Disciplinary Survey ACL 2025 Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF Attack CVPR 2025 Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMs EMNLP 2025 Advancing Emotion Recognition via Ensemble Learning: Integrating Speech, Context, and Text Representations Interspeech 2025 Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding ACL 2025 Advancing Language Models through Instruction Tuning: Recent Progress and Challenges EMNLP 2025 Advancing Medical Image Segmentation with Self-Supervised Learning: A 3D Student-Teacher Approach for Cardiac and Neurological Imaging MIDL 2025 Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training CVPR 2025 Advancing Pediatric ASR: The Role of Voice Generation in Disordered Speech Interspeech 2025 Advancing Question Generation with Joint Narrative and Difficulty Control ACL 2025 Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning AAAI 2025 Advancing Stain Transfer for Multi-Biomarkers: A Human Annotation-Free Method Based on Auxiliary Task Supervision IJCAI 2025 Advancing Zero-shot Text-to-Speech Intelligibility across Diverse Domains via Preference Alignment ACL 2025 Adversarial Alignment with Anchor Dragging Drift (A3D2): Multimodal Domain Adaptation with Partially Shifted Modalities ACL 2025 Adversarial Attacks Against Automated Fact-Checking: A Survey EMNLP 2025 Adversarial Attention Deficit: Fooling Deformable Vision Transformers with Collaborative Adversarial Patches WACV 2025 Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks AAAI 2025 Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting Interspeech 2025 Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis ICCV 2025