Jacek Tabor

31 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (6) 🤝 Dynamic Duo (11) 🏆 Grand Slam 🧬 Topic Evolution 💎 Century Club (30) ⚡ Prolific Year (6) 🗃️ Keyword Collector (117) 🔥 Unstoppable (8)

Conferences

WACV (7) ICML (6) NIPS (4) AAAI (3) ICLR (3) AISTATS (2) ACL (1) EACL (1) ECCV (1) EMNLP (1) IJCNLP (1) JMLR (1)

Top co-authors

Przemysław Spurek (12) Łukasz Struski (10) Bartosz Zieliński (6) Klaudia Bałazy (5) Marek Śmieja (5) Tomasz Trzcinski (4) Dawid Rymarczyk (4) Aleksandra Nowak (3) Marcin Przewięźlikowski (3) Bartosz Wójcik (3)

Keywords

generative model (3) matrix factorization (3) few-shot learning (3) model compression (3) image classification (2) missing datum (2) expected value (2) word embedding (2) neural network (2) prototypical part (2) semantic segmentation (2) bayesian learning (1) variational inference (1) bayesian inference (1) image generation (1) continual learning (1) prototype learning (1) feature learning (1) representation learning (1) model calibration (1)

Papers

EPIC: Explanation of Pretrained Image Classification Networks via Prototypes AAAI 2026 LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision ICLR 2025 FreSh: Frequency Shifting for Accelerated Neural Representation Learning ICLR 2025 GeoGuide: Geometric Guidance of Diffusion Models WACV 2025 Hypernetwork Approach to Bayesian MAML (Student Abstract) AAAI 2025 LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection ICML 2025 SEMU: Singular Value Decomposition for Efficient Machine Unlearning ICML 2025 Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA EMNLP 2025 Face Identity-Aware Disentanglement in StyleGAN WACV 2024 Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations AAAI 2024 Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization ICML 2024 ProtoSeg: Interpretable Semantic Segmentation With Prototypical Parts WACV 2023 SONGs: Self-Organizing Neural Graphs WACV 2023 Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training NIPS 2023 Bounding Evidence and Estimating Log-Likelihood in VAE AISTATS 2023 Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models EACL 2023 HyperShot: Few-Shot Learning by Kernel HyperNetworks WACV 2023 Continual Learning with Guarantees via Weight Interval Constraints ICML 2022 Interpretable Image Classification with Differentiable Prototypes Assignment ECCV 2022 MisConv: Convolutional Neural Networks for Missing Data WACV 2022 LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood ICML 2022 Direction is what you need: Improving Word Embedding Compression in Large Language Models IJCNLP 2021 Non-Gaussian Gaussian Processes for Few-Shot Regression NIPS 2021 Zero Time Waste: Recycling Predictions in Early Exit Neural Networks NIPS 2021 Kernel Self-Attention for Weakly-Supervised Image Classification Using Deep Multiple Instance Learning WACV 2021 Direction is what you need: Improving Word Embedding Compression in Large Language Models ACL 2021 Hypernetwork approach to generating point clouds ICML 2020 The Break-Even Point on Optimization Trajectories of Deep Neural Networks ICLR 2020 Cramer-Wold Auto-Encoder JMLR 2020 Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function AISTATS 2019 Processing of missing data by neural networks NIPS 2018