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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)

Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming NeurIPS 2024 Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM CVPR 2024 Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NeurIPS 2024 Benchmarking Retrieval-Augmented Generation for Medicine ACL 2024 Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions CVPR 2024 Benchmarking Vision Language Models for Cultural Understanding EMNLP 2024 Benchmarking Visually-Situated Translation of Text in Natural Images EMNLP 2024 BendVLM: Test-Time Debiasing of Vision-Language Embeddings NeurIPS 2024 BERGEN: A Benchmarking Library for Retrieval-Augmented Generation EMNLP 2024 BERTground: A Transformer-Based Model of Background Spectra on the ISS-Based NICER Space Telescope AAAI 2024 Best of Both Worlds: Learning Arbitrary-Scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency WACV 2024 Better Alignment with Instruction Back-and-Forth Translation EMNLP 2024 Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization EMNLP 2024 Better Synthetic Data by Retrieving and Transforming Existing Datasets ACL 2024 BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection CVPR 2024 Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning EMNLP 2024 Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals EMNLP 2024 Beyond Average: Individualized Visual Scanpath Prediction CVPR 2024 Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning UAI 2024 Beyond Embeddings: The Promise of Visual Table in Visual Reasoning EMNLP 2024 Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection NeurIPS 2024 Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs. EMNLP 2024 Beyond Fusion: Modality Hallucination-Based Multispectral Fusion for Pedestrian Detection WACV 2024 Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities AAAI 2024 Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition AAAI 2024