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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)

Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models AAAI 2025 FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation ACL 2025 Fix-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text ICCV 2025 Fixing Distribution Shifts of LLM Self-Critique via On-Policy Self-Play Training ACL 2025 FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation ACL 2025 FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series EMNLP 2025 FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training CVPR 2025 FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games EMNLP 2025 FlashBack: Efficient Retrieval-Augmented Language Modeling for Fast Inference ACL 2025 Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation AAAI 2025 FlashMix: Fast Map-Free LiDAR Localization via Feature Mixing and Contrastive-Constrained Accelerated Training WACV 2025 FlashSloth : Lightning Multimodal Large Language Models via Embedded Visual Compression CVPR 2025 FlexDoc: Parameterized Sampling for Diverse Multilingual Synthetic Documents for Training Document Understanding Models EMNLP 2025 Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals AISTATS 2025 Flexible Frame Selection for Efficient Video Reasoning CVPR 2025 Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework EMNLP 2025 FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification ICML 2025 Flexora: Flexible Low-Rank Adaptation for Large Language Models ACL 2025 FlexPose: Pose Distribution Adaptation with Limited Guidance AAAI 2025 FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection CVPR 2025 FlightPatchNet: Multi-Scale Patch Network with Differential Coding for Short-Term Flight Trajectory Prediction UAI 2025 Flipping Knowledge Distillation: Leveraging Small Models’ Expertise to Enhance LLMs in Text Matching ACL 2025 FlipSketch: Flipping Static Drawings to Text-Guided Sketch Animations CVPR 2025 FloorPlan-LLaMa: Aligning Architects’ Feedback and Domain Knowledge in Architectural Floor Plan Generation ACL 2025 Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion CVPR 2025