conftrace_

Techniques

9,432 papers (36 classified directly here)

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

Model Architecture (5,047) Pretraining (2,736) Attention (1,162) Normalization (434) Attention Mechanism (265)

Papers per year

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9

12

33

95

225

447

788

914

1,131

1,059

1,342

1,450

1,375

541

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Papers (including subtopics)

The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks COLT 2023 The Importance of Anti-Aliasing in Tiny Object Detection ACML 2023 The MAKE-NMTVIZ System Description for the WMT23 Literary Task EMNLP 2023 The MALACH Corpus: Results with End-to-End Architectures and Pretraining Interspeech 2023 The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction EMNLP 2023 The Value of AI Guidance in Human Examination of Synthetically-Generated Faces AAAI 2023 TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining EMNLP 2023 TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance ICCV 2023 TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models CVPR 2023 TIPS: Topologically Important Path Sampling for Anytime Neural Networks ICML 2023 Token Merging: Your ViT But Faster ICLR 2023 Token Pooling in Vision Transformers for Image Classification WACV 2023 Topic-Informed Dialogue Summarization using Topic Distribution and Prompt-based Modeling EMNLP 2023 TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition CVPR 2023 Totally Dynamic Hypergraph Neural Networks IJCAI 2023 Toward Human-Like Evaluation for Natural Language Generation with Error Analysis ACL 2023 Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning ACL 2023 Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training AAAI 2023 Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity NeurIPS 2023 Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts EMNLP 2023 Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method CVPR 2023 Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism ICLR 2023 Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity EMNLP 2023 Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment CVPR 2023 Towards Deep Attention in Graph Neural Networks: Problems and Remedies ICML 2023