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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)
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Papers (including subtopics)

Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation ICML 2025 Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025 Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation IJCAI 2025 Tackling Low-Resource NMT with Instruction-Tuned LLaMA: A Study on Kokborok and Bodo EMNLP 2025 TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration EMNLP 2025 TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning ACL 2025 Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation CoRL 2025 TADA: Training-free Attribution and Out-of-Domain Detection of Audio Deepfakes Interspeech 2025 TAEGAN: Revisit GANs for Tabular Data Generation ACML 2025 TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model CVPR 2025 Tagging-Augmented Generation: Assisting Language Models in Finding Intricate Knowledge In Long Contexts EMNLP 2025 TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection CVPR 2025 Tailoring Mixup to Data for Calibration ICLR 2025 Take the Bull by the Horns: Learning to Segment Hard Samples CVPR 2025 Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling ACL 2025 Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation ICCV 2025 TamedPUMA: safe and stable imitation learning with geometric fabrics L4DC 2025 Taming Teacher Forcing for Masked Autoregressive Video Generation CVPR 2025 Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs CVPR 2025 TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models ACL 2025 TaoAvatar: Real-Time Lifelike Full-Body Talking Avatars for Augmented Reality via 3D Gaussian Splatting CVPR 2025 TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models CVPR 2025 Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation NAACL 2025 Target Bias Is All You Need: Zero-Shot Debiasing of Vision-Language Models with Bias Corpus ICCV 2025 Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance AAAI 2025