conftrace_

Architectures

30,950 papers (33 classified directly here)

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

Neural Networks (13,168) Transformers (11,186) Graph Neural Networks (5,491) Autoencoders (1,313) Convolutional Neural Networks (1,049) Recurrent Neural Networks (675) Generative Adversarial Networks (94) Encoder-Decoder (36)

Papers per year

2

3

15

13

18

17

27

39

43

74

94

221

536

912

1,611

2,559

3,004

3,504

3,729

4,021

4,550

4,519

1,439

'10

'15

'20

'25

Papers (including subtopics)

LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NeurIPS 2024 LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels CVPR 2024 LTM: Lightweight Textured Mesh Extraction and Refinement of Large Unbounded Scenes for Efficient Storage and Real-time Rendering CVPR 2024 Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models NeurIPS 2024 Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT NeurIPS 2024 LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition ICLR 2024 LungAdapter: Efficient Adapting Audio Spectrogram Transformer for Lung Sound Classification Interspeech 2024 LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes NeurIPS 2024 LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models ICLR 2024 Lyapunov-Stable Deep Equilibrium Models AAAI 2024 M33D: Learning 3D Priors Using Multi-Modal Masked Autoencoders for 2D Image and Video Understanding WACV 2024 MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent ICML 2024 MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds WACV 2024 Maestro: Uncovering Low-Rank Structures via Trainable Decomposition ICML 2024 MaGGIe: Masked Guided Gradual Human Instance Matting CVPR 2024 Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification CVPR 2024 MagMax: Leveraging Model Merging for Seamless Continual Learning ECCV 2024 Magnitude Invariant Parametrizations Improve Hypernetwork Learning ICLR 2024 MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation ICML 2024 Magnushammer: A Transformer-Based Approach to Premise Selection ICLR 2024 MaIL: Improving Imitation Learning with Selective State Space Models CoRL 2024 MAIRA at RRG24: A specialised large multimodal model for radiology report generation ACL 2024 Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction IJCAI 2024 Make Lossy Compression Meaningful for Low-Light Images AAAI 2024 Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024