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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)

byteSizedLLM@DravidianLangTech 2025: Sentiment Analysis in Tamil Using Transliteration-Aware XLM-RoBERTa and Attention-BiLSTM NAACL 2025 byteSizedLLM@NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification Using Customized Attention BiLSTM and XLM-RoBERTa Base Embeddings COLING 2025 byteSizedLLM@NLU of Devanagari Script Languages 2025: Language Identification Using Customized Attention BiLSTM and XLM-RoBERTa base Embeddings COLING 2025 ByTheWay: Boost Your Text-to-Video Generation Model to Higher Quality in a Training-free Way CVPR 2025 Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning ICML 2025 C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection AAAI 2025 CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training ICCV 2025 CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments IJCAI 2025 CabinSep: IR-Augmented Mask-Based MVDR for Real-Time In-car Speech Separation with Distributed Heterogeneous Arrays Interspeech 2025 CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization ICCV 2025 Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Reasoning EMNLP 2025 CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation ICML 2025 CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images CVPR 2025 CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation CVPR 2025 CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging CVPR 2025 CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing AAAI 2025 CafGa: Customizing Feature Attributions to Explain Language Models EMNLP 2025 CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval ACL 2025 CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation AAAI 2025 CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information Retrieval SemEval 2025 CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection AAAI 2025 CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning AAAI 2025 Call for Rigor in Reporting Quality of Instruction Tuning Data ACL 2025 CALM: Curiosity-Driven Auditing for Large Language Models AAAI 2025 Calm-Whisper: Reduce Whisper Hallucination On Non-Speech By Calming Crazy Heads Down Interspeech 2025