Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation CVPR 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025 Unleashing the Potential of Model Bias for Generalized Category Discovery AAAI 2025 Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation AAAI 2025 Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem EMNLP 2025 Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation ICCV 2025 Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts NAACL 2025 Unlocking LLM Safeguards for Low-Resource Languages via Reasoning and Alignment with Minimal Training Data EMNLP 2025 Unlocking LLMs’ Self-Improvement Capacity with Autonomous Learning for Domain Adaptation ACL 2025 Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning AAAI 2025 Unlocking the Potential of Reverse Distillation for Anomaly Detection AAAI 2025 Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization CVPR 2025 Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning ICLR 2025 Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting AAAI 2025 Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering EMNLP 2025 Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models ACL 2025 unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning ICML 2025 Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion AAAI 2025 Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging ACL 2025 Unraveling Misinformation Propagation in LLM Reasoning EMNLP 2025 Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving ICCV 2025 Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning ACL 2025 Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems ACL 2025 UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs’ Memorization ACL 2025 Unseen Visual Anomaly Generation CVPR 2025