conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

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Papers (including subtopics)

Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning NeurIPS 2021 Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making ACL 2021 Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks AAAI 2021 Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network AAAI 2021 Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders AAAI 2021 Interpretable Social Anchors for Human Trajectory Forecasting in Crowds CVPR 2021 Interventional Video Grounding With Dual Contrastive Learning CVPR 2021 In the Light of Feature Distributions: Moment Matching for Neural Style Transfer CVPR 2021 Intra-Inter Camera Similarity for Unsupervised Person Re-Identification CVPR 2021 Intriguing Properties of Vision Transformers NeurIPS 2021 Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021 Introspective Distillation for Robust Question Answering NeurIPS 2021 Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation AAAI 2021 Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors AAAI 2021 Investigating Contributions of Speech and Facial Landmarks for Talking Head Generation Interspeech 2021 Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion Interspeech 2021 Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds Interspeech 2021 Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model EMNLP 2021 Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering EMNLP 2021 Investigating Pretrained Language Models for Graph-to-Text Generation EMNLP 2021 Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI EMNLP 2021 Investigating the Impact of Gender Representation in ASR Training Data: a Case Study on Librispeech ACL 2021 Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect CVPR 2021 Involution: Inverting the Inherence of Convolution for Visual Recognition CVPR 2021 IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking CVPR 2021