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11300 directly classified papers

Papers per year

Papers

Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach ACL 2025
STARS: A Unified Framework for Singing Transcription, Alignment, and Refined Style Annotation ACL 2025
Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025
Embeddings for Numerical Features Using tanh Activation ACL 2025
LETS-C: Leveraging Text Embedding for Time Series Classification ACL 2025
Rubic2: Ensemble Model for Russian Lemmatization ACL 2025
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP ACL 2025
Polarity inversion operators in PLM ACL 2025
Incongruity-aware Tension Field Network for Multi-modal Sarcasm Detection ACL 2025
IDF: Iterative Dynamic Filtering Networks for Generalizable Image Denoising ICCV 2025
Tree-NeRV: Efficient Non-Uniform Sampling for Neural Video Representation via Tree-Structured Feature Grids ICCV 2025
Alignment of CNN and Human Judgments of Geometric and Topological Concepts AAAI 2025
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks AAAI 2025
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment AAAI 2025
OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion AAAI 2025
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis AAAI 2025
PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning AAAI 2025
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation AAAI 2025
Polarity inversion operators in PLM CONLL 2025
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels ICCV 2025
Do Construction Distributions Shape Formal Language Learning In German BabyLMs? CONLL 2025
EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images ICCV 2025
Differential Mamba IJCNLP 2025
MossNet: Mixture of State-Space Experts is a Multi-Head Attention IJCNLP 2025
Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework IJCAI 2025