Skip to content
conftrace_

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

Papers (including subtopics)

CoFie: Learning Compact Neural Surface Representations with Coordinate Fields NeurIPS 2024 CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models ACL 2024 CoGen: Learning from Feedback with Coupled Comprehension and Generation EMNLP 2024 CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models EMNLP 2024 Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment ACL 2024 CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models NeurIPS 2024 ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation NeurIPS 2024 Collaborating Foundation Models for Domain Generalized Semantic Segmentation CVPR 2024 Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis AAAI 2024 Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval ICML 2024 CoLLaVO: Crayon Large Language and Vision mOdel ACL 2024 CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations ICML 2024 Colorizing Monochromatic Radiance Fields AAAI 2024 Color-Oriented Redundancy Reduction in Dataset Distillation NeurIPS 2024 ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation ACL 2024 CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching NeurIPS 2024 COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks AAAI 2024 COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems AAAI 2024 Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation AAAI 2024 Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types AAAI 2024 Combining Frame and GOP Embeddings for Neural Video Representation CVPR 2024 Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification AAAI 2024 Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval AAAI 2024 COMMA: Co-articulated Multi-Modal Learning AAAI 2024 Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective ACL 2024