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)

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers ICCV 2025 VRCP: Vocabulary Replacement Continued Pretraining for Efficient Multilingual Language Models COLING 2025 VRM: Knowledge Distillation via Virtual Relation Matching ICCV 2025 VSNet: Focusing on the Linguistic Characteristics of Sign Language CVPR 2025 VSSD: Vision Mamba with Non-Causal State Space Duality ICCV 2025 Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection ICCV 2025 Vulnerability of LLMs to Vertically Aligned Text Manipulations ACL 2025 WAFFLE: Fine-tuning Multi-Modal Model for Automated Front-End Development ACL 2025 Wait, that’s not an option: LLMs Robustness with Incorrect Multiple-Choice Options ACL 2025 Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models AAAI 2025 Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration AAAI 2025 wangkongqiang at SemEval-2025 Task 11:Bridging the Gap in Text-Based Emotion Detection SemEval 2025 WARLearn: Weather-Adaptive Representation Learning WACV 2025 Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation ACL 2025 WarpHE4D: Dense 4D Head Map toward Full Head Reconstruction ICCV 2025 Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models AAAI 2025 Watermark Smoothing Attacks against Language Models EMNLP 2025 WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents NAACL 2025 Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animation CVPR 2025 wavCSE: Learning Fixed-size Unified Speech Embeddings via Feature-based Multi-Task Learning IJCNLP 2025 Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation AAAI 2025 WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting AAAI 2025 Wave-MambaAD: Wavelet-driven State Space Model for Multi-class Unsupervised Anomaly Detection ICCV 2025 WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning L4DC 2025 Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture IJCAI 2025