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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)

AIDE: Improving 3D Open-Vocabulary Semantic Segmentation by Aligned Vision-Language Learning WACV 2025 AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark CVPR 2025 AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation AAAI 2025 AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents EMNLP 2025 AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking SemEval 2025 AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning ICCV 2025 AIM: Additional Image Guided Generation of Transferable Adversarial Attacks AAAI 2025 AIM: Amending Inherent Interpretability via Self-Supervised Masking ICCV 2025 AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data CVPR 2025 AIRA: Activation-Informed Low-Rank Adaptation for Large Models ICCV 2025 A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning IJCAI 2025 AirRoom: Objects Matter in Room Reidentification CVPR 2025 AI Tools Can Generate Misculture Visuals! Detecting Prompts Generating Misculture Visuals For Prevention ACL 2025 A Joint Network for Singing Melody Extraction from Polyphonic Music with Attention Aggregation and Self-Consistency Training Interspeech 2025 AKCIT at SemEval-2025 Task 11: Investigating Data Quality in Portuguese Emotion Recognition SemEval 2025 A knowledge-based method for detecting network-induced shape artifacts in synthetic images MIDL 2025 A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models AAAI 2025 AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings ICML 2025 ALADAN at IWSLT25 Low-resource Arabic Dialectal Speech Translation Task ACL 2025 A Layer Selection Approach to Test Time Adaptation AAAI 2025 ``Alexa, can you forget me?'' Machine Unlearning Benchmark in Spoken Language Understanding Interspeech 2025 AlexUNLP-FMT at ClimateCheck Shared Task: Hybrid Retrieval with Adaptive Similarity Graph-based Reranking for Climate-related Social Media Claims Fact Checking ACL 2025 A Lightweight Hybrid Dual Channel Speech Enhancement System under Low-SNR Conditions Interspeech 2025 A Lightweight Sparse Interaction Network for Time Series Forecasting AAAI 2025 Align3R: Aligned Monocular Depth Estimation for Dynamic Videos CVPR 2025