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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)

Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned? EMNLP 2022 Towards Practical Certifiable Patch Defense With Vision Transformer CVPR 2022 Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference NeurIPS 2022 Towards Real-World Navigation With Deep Differentiable Planners CVPR 2022 Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias NeurIPS 2022 Towards Robust Adaptive Object Detection Under Noisy Annotations CVPR 2022 Towards Robust k-Nearest-Neighbor Machine Translation EMNLP 2022 Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond CVPR 2022 Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022 Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin CVPR 2022 Towards Simple and Efficient Task-Adaptive Pre-training for Text Classification AACL 2022 Towards Stronger Adversarial Baselines Through Human-AI Collaboration ACL 2022 Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders COLING 2022 Towards Summary Candidates Fusion EMNLP 2022 Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach EMNLP 2022 Towards Total Recall in Industrial Anomaly Detection CVPR 2022 Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations ICLR 2022 Towards Transferable Adversarial Attacks on Vision Transformers AAAI 2022 Towards Understanding Grokking: An Effective Theory of Representation Learning NeurIPS 2022 Towards understanding how momentum improves generalization in deep learning ICML 2022 Towards Unified Prompt Tuning for Few-shot Text Classification EMNLP 2022 Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory AAAI 2022 Toward the Limitation of Code-Switching in Cross-Lingual Transfer EMNLP 2022 Toward Unifying Text Segmentation and Long Document Summarization EMNLP 2022 ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection ACL 2022