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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)

All-in-One Image Compression and Restoration WACV 2025 All-in-One: Transferring Vision Foundation Models into Stereo Matching AAAI 2025 All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages CVPR 2025 (Almost) Free Modality Stitching of Foundation Models EMNLP 2025 ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling ICML 2025 A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization AAAI 2025 ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect AAAI 2025 ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models ACL 2025 Alzheimer’s Disease Detection Using Co-Attention Mechanism for Acoustic and ASR-Transcribed Text Features Interspeech 2025 Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval AAAI 2025 Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering AAAI 2025 AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction ICCV 2025 AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents ACL 2025 Amodal Depth Anything: Amodal Depth Estimation in the Wild ICCV 2025 A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment ACL 2025 Amortized Probabilistic Conditioning for Optimization, Simulation and Inference AISTATS 2025 A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos ACL 2025 A.M.P at SciHal2025: Automated Hallucination Detection in Scientific Content via LLMs and Prompt Engineering ACL 2025 AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection EMNLP 2025 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025 An Adaptive Method for Weak Supervision with Drifting Data AISTATS 2025 An Address Intelligence Framework for E-commerce Deliveries EMNLP 2025 Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection Interspeech 2025 Analysis of ABC Frontend Audio Systems for the NIST-SRE24 Interspeech 2025 Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods ICLR 2025