[AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".
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Updated
Jul 29, 2024 - Jupyter Notebook
[AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".
[AAAI'21] Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
Official Code for "Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction (AAAI 2021)"
Adversarial Generation of Extreme Samples
[AAAI 2021] Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal
Official PyTorch implementation of LF-Font (Few-shot Font Generation with Localized Style Representations and Factorization) AAAI 2021
Code for the submission to the ML Reproducibility Challenge 2022, reproducing "If you like Shapley then you'll love the core"
Supplementary material and code for "From Label Smoothing to Label Relaxation" as published at AAAI 2021.
AAAI-2021 paper: The Influence of Memory in Multi-Agent Consensus
The code for the paper "Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval" (AAAI'21)
Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]
The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
Discovering New Intents with Deep Aligned Clustering (AAAI 2021)
PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)
Deep Open Intent Classification with Adaptive Decision Boundary (AAAI 2021)
[AAAI'21] Code release for "Visual Pivoting for (Unsupervised) Entity Alignment".
Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)
AAAI 2021: A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting
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