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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

4
30
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Papers (including subtopics)

Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding NIPS 2023
Are GATs Out of Balance? NIPS 2023
Sheaf Hypergraph Networks NIPS 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond NIPS 2023
Tanh Works Better with Asymmetry NIPS 2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition NIPS 2023
Idempotent Learned Image Compression with Right-Inverse NIPS 2023
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding NIPS 2023
Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture NIPS 2023
FouriDown: Factoring Down-Sampling into Shuffling and Superposing NIPS 2023
On skip connections and normalisation layers in deep optimisation NIPS 2023
Efficient Low-rank Backpropagation for Vision Transformer Adaptation NIPS 2023
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning NIPS 2023
Deep Equilibrium Based Neural Operators for Steady-State PDEs NIPS 2023
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking NIPS 2023
Implicit Convolutional Kernels for Steerable CNNs NIPS 2023
Fragment-based Pretraining and Finetuning on Molecular Graphs NIPS 2023
Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field NIPS 2023
Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis NIPS 2023
Learning threshold neurons via edge of stability NIPS 2023
Towards Efficient and Accurate Winograd Convolution via Full Quantization NIPS 2023
Transition-constant Normalization for Image Enhancement NIPS 2023
RegBN: Batch Normalization of Multimodal Data with Regularization NIPS 2023
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning NIPS 2023
VeriX: Towards Verified Explainability of Deep Neural Networks NIPS 2023