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4351 directly classified papers
Papers per year
2006: 1
2008: 1
2009: 1
2010: 1
2013: 5
2014: 5
2015: 22
2016: 57
2017: 124
2018: 231
2019: 415
2020: 405
2021: 617
2022: 503
2023: 619
2024: 584
2025: 505
2026: 255
Papers
DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes
SEMEVAL 2024
VerbaNexAI Lab at SemEval-2024 Task 1: A Multilayer Artificial Intelligence Model for Semantic Relationship Detection
SEMEVAL 2024
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
NIPS 2024
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion
COLT 2024
Pruning is Optimal for Learning Sparse Features in High-Dimensions
COLT 2024
Gradient Rewiring for Editable Graph Neural Network Training
NIPS 2024
Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation
NIPS 2024
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
CVPR 2024
Arbitrary-Resolution and Arbitrary-Scale Face Super-Resolution With Implicit Representation Networks
WACV 2024
Real-time safe control of neural network dynamic models with sound approximation
L4DC 2024
Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks
L4DC 2024
ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings
NIPS 2024
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
EMNLP 2024
QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints
L4DC 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
NIPS 2024
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
CVPR 2024
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
CVPR 2024
SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework
EMNLP 2024
Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting
NIPS 2024
A Morphology-Based Investigation of Positional Encodings
EMNLP 2024
Task-Driven Wavelets using Constrained Empirical Risk Minimization
CVPR 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
NIPS 2024
Further Compressing Distilled Language Models via Frequency-aware Partial Sparse Coding of Embeddings
EMNLP 2024
Enabling Tensor Language Model to Assist in Generating High-Performance Tensor Programs for Deep Learning
OSDI 2024
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
ACL 2024
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