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| Offline Model-Based Optimization by Learning to Rank |
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| Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings |
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| Debiased Collaborative Filtering with Kernel-Based Causal Balancing |
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| SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers |
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8 Aug 2023 |
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| Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing |
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guoji-fu/dignn/nodeclassification/linkx_dataset.py 259d4544dc760378 |
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| Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition |
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sunlicai/mae-dfer/mixup.py 4728dc2025227bba |
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| Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data |
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| Lifting the Curse of Capacity Gap in Distilling Language Models |
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| MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer |
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| Time Series as Images: Vision Transformer for Irregularly Sampled Time Series |
1 Mar 2023 |
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| Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling |
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keyu-tian/spark/downstream_imagenet/mixup.py 4728dc2025227bba |
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| Fine-tuned CLIP Models are Efficient Video Learners |
6 Dec 2022 |
muzairkhattak/vifi-clip/datasets/blending.py 4728dc2025227bba |
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| ResFormer: Scaling ViTs with Multi-Resolution Training |
1 Dec 2022 |
ruitian12/resformer/image_classification/mix.py 4728dc2025227bba |
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| Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning |
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| The Missing Indicator Method: From Low to High Dimensions |
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| FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification |
23 Aug 2022 |
yunqing-me/Born-Again-FS/baseline_model/utils.py f1324589fc273593 |
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| Kernel Relative-prototype Spectral Filtering for Few-shot Learning |
24 Jul 2022 |
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| Langevin Monte Carlo for Contextual Bandits |
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devzhk/lmcts/run_cifar.py c875d9cdc27a6719 |
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| On the Representation Collapse of Sparse Mixture of Experts |
20 Apr 2022 |
microsoft/torchscale/torchscale/component/xmoe/routing.py 9d133667851a7737 |
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| The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy |
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| Multi-modal Graph Learning for Disease Prediction |
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google-research/pactran_metrics/compute_metrics.py edfd7151645e07b8 |
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17 Feb 2022 |
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| MGCVAE: Multi-objective Inverse Design via Molecular Graph Conditional Variational Autoencoder |
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mhlee216/mgcvae/code/mgcvae.py 8cfd0918586268a8 |
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| Locally Typical Sampling |
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HomebrewNLP/HomebrewNLP-Jax/inference.py e11d769ad67f0934 |
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| Learning Fair Representations via Rate-Distortion Maximization |
31 Jan 2022 |
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11 Nov 2021 |
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| SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning |
8 Nov 2021 |
martayang/sega/models/classification_heads.py 7c64c35be7f02395 |
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| Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks |
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| Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement |
3 Oct 2021 |
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| One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective |
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15 Sep 2021 |
adityalab/camul/train_covid.py 8b195a6b88d4bd87 |
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| RepNAS: Searching for Efficient Re-parameterizing Blocks |
8 Sep 2021 |
bestfleer/RepNAS/utils/Mixup.py 4728dc2025227bba |
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| Continual Learning for Image-Based Camera Localization |
20 Aug 2021 |
aaltovision/cl_hscnet/models/hscnet.py 3dea70a376daefdf |
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15 Jul 2021 |
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| Learning Markov State Abstractions for Deep Reinforcement Learning |
8 Jun 2021 |
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| When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting |
7 Jun 2021 |
adityalab/epifnp/train_ili.py a5a22adb6b1bdc7e |
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| Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines |
28 May 2021 |
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| BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition |
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| ECINN: Efficient Counterfactuals from Invertible Neural Networks |
25 Mar 2021 |
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| Vision Transformers for Dense Prediction |
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| NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation |
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| Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection |
22 Oct 2020 |
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| Data Augmentation for Meta-Learning |
14 Oct 2020 |
renkunni/metaaug/train_aug.py 7c64c35be7f02395 |
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| Compositional Demographic Word Embeddings |
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| Meta-Consolidation for Continual Learning |
1 Oct 2020 |
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| Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback |
6 Sep 2020 |
RyanWangZf/CVIB-Rec/matrix_factorization.py 4fe5b26db1726dd8 |
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| LowFER: Low-rank Bilinear Pooling for Link Prediction |
25 Aug 2020 |
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| What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation |
9 Aug 2020 |
google-research/heldout-influence-estimation/mnist-example/mnist_infl_mem.py a8f998b9ec355770 |
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21 Jul 2020 |
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| Hypersolvers: Toward Fast Continuous-Depth Models |
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8 Jul 2020 |
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| INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving |
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| On the Bottleneck of Graph Neural Networks and its Practical Implications |
9 Jun 2020 |
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| SEKD: Self-Evolving Keypoint Detection and Description |
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| Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation |
13 Apr 2020 |
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| Efficient Domain Generalization via Common-Specific Low-Rank Decomposition |
28 Mar 2020 |
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| Robustness to Programmable String Transformations via Augmented Abstract Training |
22 Feb 2020 |
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