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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)

Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples EMNLP 2022 Investigating Tradeoffs in Real-World Video Super-Resolution CVPR 2022 Investigating Why Contrastive Learning Benefits Robustness against Label Noise ICML 2022 In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? NeurIPS 2022 IrekiaLFes: a New Open Benchmark and Baseline Systems for Spanish Automatic Text Simplification EMNLP 2022 IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection EMNLP 2022 Is L^2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NeurIPS 2022 Is a Question Decomposition Unit All We Need? EMNLP 2022 Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification ACL 2022 IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling AAAI 2022 Is Mapping Necessary for Realistic PointGoal Navigation? CVPR 2022 ISNet: Shape Matters for Infrared Small Target Detection CVPR 2022 Isometric 3D Adversarial Examples in the Physical World NeurIPS 2022 Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation NeurIPS 2022 IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces EMNLP 2022 Iterative Deep Homography Estimation CVPR 2022 Iterative Few-shot Semantic Segmentation from Image Label Text IJCAI 2022 Iteratively Prompt Pre-trained Language Models for Chain of Thought EMNLP 2022 Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier AAAI 2022 It Is Not Easy To Detect Paraphrases: Analysing Semantic Similarity With Antonyms and Negation Using the New SemAntoNeg Benchmark EMNLP 2022 ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks CVPR 2022 It's About Time: Analog Clock Reading in the Wild CVPR 2022 “It’s Not Just Hate”: A Multi-Dimensional Perspective on Detecting Harmful Speech Online EMNLP 2022 It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation ICLR 2022 It Takes Two to Tango: Mixup for Deep Metric Learning ICLR 2022