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Deep Learning

1752 directly classified papers

Papers per year

Papers

Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024
UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans NIPS 2024
Autoregressive Image Generation without Vector Quantization NIPS 2024
InfraParis: A Multi-Modal and Multi-Task Autonomous Driving Dataset WACV 2024
MIT-KEC-NLP@DravidianLangTech-EACL 2024: Offensive Content Detection in Kannada and Kannada-English Mixed Text Using Deep Learning Techniques EACL 2024
Spiking Denoising Diffusion Probabilistic Models WACV 2024
Inter-X: Towards Versatile Human-Human Interaction Analysis CVPR 2024
Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding IJCAI 2024
Habesha@DravidianLangTech 2024: Detecting Fake News Detection in Dravidian Languages using Deep Learning EACL 2024
Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024
Deep Video Inverse Tone Mapping Based on Temporal Clues CVPR 2024
Mixture of Nested Experts: Adaptive Processing of Visual Tokens NIPS 2024
Punny_Punctuators@DravidianLangTech-EACL2024: Transformer-based Approach for Detection and Classification of Fake News in Malayalam Social Media Text EACL 2024
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NIPS 2024
MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity NIPS 2024
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction EMNLP 2024
Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings EACL 2024
Camera-Independent Single Image Depth Estimation From Defocus Blur WACV 2024
Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features IJCAI 2024
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations IJCAI 2024
Trusted Multi-view Learning with Label Noise IJCAI 2024
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition ACL 2023