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

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15

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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

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Papers (including subtopics)

NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement AAAI 2024 Nimbus: Secure and Efficient Two-Party Inference for Transformers NeurIPS 2024 NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries EACL 2024 NLIP-Lab-IITH Multilingual MT System for WAT24 MT Shared Task EMNLP 2024 NLoPT: N-gram Enhanced Low-Rank Task Adaptive Pre-training for Efficient Language Model Adaption COLING 2024 nlp_enjoyers at TextGraphs-17 Shared Task: Text-Graph Representations for Knowledge Graph Question Answering using all-MPNet ACL 2024 NN4SysBench: Characterizing Neural Network Verification for Computer Systems NeurIPS 2024 NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gateways NSDI 2024 NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem AAAI 2024 NodeMixup: Tackling Under-Reaching for Graph Neural Networks AAAI 2024 No Free Prune: Information-Theoretic Barriers to Pruning at Initialization ICML 2024 No Head Left Behind – Multi-Head Alignment Distillation for Transformers AAAI 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise NeurIPS 2024 Noisy Interpolation Learning with Shallow Univariate ReLU Networks ICLR 2024 NoisyMix: Boosting Model Robustness to Common Corruptions AISTATS 2024 Non-asymptotic Convergence of Training Transformers for Next-token Prediction NeurIPS 2024 Non-Autoregressive Machine Translation as Constrained HMM ACL 2024 Non-convolutional graph neural networks. NeurIPS 2024 Non-Euclidean Mixture Model for Social Network Embedding NeurIPS 2024 Nonlinear spiked covariance matrices and signal propagation in deep neural networks COLT 2024 Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery NeurIPS 2024 Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks NeurIPS 2024 Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks JMLR 2024 Non-parametric Representation Learning with Kernels AAAI 2024 Nonparametric Teaching of Implicit Neural Representations ICML 2024