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)

Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning ACL 2024 Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models AAAI 2024 Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics ICLR 2024 Learning Human-like Representations to Enable Learning Human Values NeurIPS 2024 Learning Hybrid Dynamics Models with Simulator-Informed Latent States AAAI 2024 Learning Infinitesimal Generators of Continuous Symmetries from Data NeurIPS 2024 Learning Intra-Class Multimodal Distributions With Orthonormal Matrices WACV 2024 Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching CVPR 2024 Learning Modality Knowledge Alignment for Cross-Modality Transfer ICML 2024 Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NeurIPS 2024 Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing AAAI 2024 Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding AAAI 2024 Learning multivariate temporal point processes via the time-change theorem AISTATS 2024 Learning Musical Representations for Music Performance Question Answering EMNLP 2024 Learning New Tasks from a Few Examples with Soft-Label Prototypes ACL 2024 Learning Object State Changes in Videos: An Open-World Perspective CVPR 2024 Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series ICML 2024 Learning or Self-aligning? Rethinking Instruction Fine-tuning ACL 2024 Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis AAAI 2024 Learning predictable and robust neural representations by straightening image sequences NeurIPS 2024 Learning Quality Labels for Robust Image Classification WACV 2024 Learning Real-World Image De-weathering with Imperfect Supervision AAAI 2024 Learning Representation for Multitask Learning through Self-Supervised Auxiliary Learning ECCV 2024 Learning Representations for Robust Human-Robot Interaction AAAI 2024 Learning Robust Deep Visual Representations From EEG Brain Recordings WACV 2024