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)

ADBench: Anomaly Detection Benchmark NeurIPS 2022 ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images AAAI 2022 Additive Interventions Yield Robust Multi-Domain Machine Translation Models EMNLP 2022 Addressing Leakage in Self-Supervised Contextualized Code Retrieval COLING 2022 Addressing Limitations of Encoder-Decoder Based Approach to Text-to-SQL COLING 2022 Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets NeurIPS 2022 A deep complex multi-frame filtering network for stereophonic acoustic echo cancellation Interspeech 2022 A deep convolutional neural network that is invariant to time rescaling ICML 2022 A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning AAAI 2022 ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition Interspeech 2022 A Differentiable Two-Stage Alignment Scheme for Burst Image Reconstruction With Large Shift CVPR 2022 A Discriminative and Robust Feature Learning Approach for EEG-Based Motor Imagery Decoding (Student Abstract) AAAI 2022 Advancing High-Resolution Video-Language Representation With Large-Scale Video Transcriptions CVPR 2022 Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition NeurIPS 2022 Adversarial Attack for Asynchronous Event-Based Data AAAI 2022 Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach NeurIPS 2022 Adversarial Bone Length Attack on Action Recognition AAAI 2022 Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers AAAI 2022 Adversarial Eigen Attack on Black-Box Models CVPR 2022 Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning AAAI 2022 Adversarial Knowledge Distillation For Robust Spoken Language Understanding Interspeech 2022 Adversarially trained neural representations may already be as robust as corresponding biological neural representations ICML 2022 Adversarial Masking for Self-Supervised Learning ICML 2022 Adversarial Multi-Task Deep Learning for Noise-Robust Voice Activity Detection with Low Algorithmic Delay Interspeech 2022 Adversarial Multi-Task Learning for Disentangling Timbre and Pitch in Singing Voice Synthesis Interspeech 2022