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Techniques

8,241 papers (36 classified directly here)

Subtopics

Model Architecture (4,354) Pretraining (2,483) Attention (1,111) Normalization (341) Attention Mechanism (150)

Papers per year

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Papers (including subtopics)

PrivaT5: A Generative Language Model for Privacy Policies ACL 2024
IT-Tuning : Parameter Efficient Information Token Tuning for Language Model ACL 2024
Integrating Table Representations into Large Language Models for Improved Scholarly Document Comprehension ACL 2024
Auto-ACE: An Automatic Answer Correctness Evaluation Method for Conversational Question Answering ACL 2024
Industry vs Academia: Running a Course on Transformers in Two Setups ACL 2024
TIGFORMER at TextGraphs-17 Shared Task: A Late Interaction Method for text and Graph Representations in KBQA Classification Task ACL 2024
P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks AISTATS 2024
Multi-Dimensional Hyena for Spatial Inductive Bias AISTATS 2024
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity AISTATS 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes AISTATS 2024
Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks AISTATS 2024
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach AISTATS 2024
Any-dimensional equivariant neural networks AISTATS 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers AISTATS 2024
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection AISTATS 2024
Deep Learning-Based Alternative Route Computation AISTATS 2024
Weight-Sharing Regularization AISTATS 2024
DE-HNN: An effective neural model for Circuit Netlist representation AISTATS 2024
Tensor-view Topological Graph Neural Network AISTATS 2024
Self-Supervised Quantization-Aware Knowledge Distillation AISTATS 2024
The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024
On the Generalization Ability of Unsupervised Pretraining AISTATS 2024
Data Driven Threshold and Potential Initialization for Spiking Neural Networks AISTATS 2024
A CURATEd CATalog: Rethinking the Extraction of Pretraining Corpora for Mid-Resourced Languages COLING 2024
Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation COLING 2024