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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)

Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs EMNLP 2024 TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation CVPR 2024 Token-wise Influential Training Data Retrieval for Large Language Models ACL 2024 ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images CVPR 2024 Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option EMNLP 2024 ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback EMNLP 2024 Tools Identification By On-Board Adaptation of Vision-and-Language Models AAAI 2024 Topic Modeling: Contextual Token Embeddings Are All You Need EMNLP 2024 TopoFR: A Closer Look at Topology Alignment on Face Recognition NeurIPS 2024 Topological Expressivity of ReLU Neural Networks COLT 2024 Topological Neural Networks go Persistent, Equivariant, and Continuous ICML 2024 TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation AAAI 2024 To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models EMNLP 2024 TorchRL: A data-driven decision-making library for PyTorch ICLR 2024 TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NeurIPS 2024 TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education ACL 2024 To smooth a cloud or to pin it down: Expressiveness guarantees and insights on score matching in denoising diffusion models UAI 2024 Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning NeurIPS 2024 Toward Data Efficient Model Merging between Different Datasets without Performance Degradation ACML 2024 Toward More Generalized Malicious URL Detection Models AAAI 2024 Toward Open-Set Human Object Interaction Detection AAAI 2024 Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning ECCV 2024 Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning NeurIPS 2024 Towards 3D Vision with Low-Cost Single-Photon Cameras CVPR 2024 Towards a new Benchmark for Emotion Detection in NLP: A Unifying Framework of Recent Corpora EMNLP 2024