PPaperPicks

Tomasz Trzcinski

24 papers at tracked venues · 7 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
  2. Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers
  3. ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts
  4. Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
  5. GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation
  6. GUIDE: Guidance-Based Incremental Learning with Diffusion Models
  7. How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies
  8. Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
  9. LumiGauss: Relightable Gaussian Splatting in the Wild
  10. RegScore: Scoring Systems for Regression Tasks
  11. AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
  12. AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale
  13. CLIP-DINOiser: Teaching CLIP a Few DINO Tricks for Open-Vocabulary Semantic Segmentation
  14. Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
  15. Divide and not forget: Ensemble of selectively trained experts in Continual Learning
  16. HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract)
  17. Let Me DeCode You: Decoder Conditioning with Tabular Data
  18. MAGMAX: Leveraging Model Merging for Seamless Continual Learning
  19. MISS: Multiclass Interpretable Scoring Systems
  20. Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
  21. Revisiting Supervision for Continual Representation Learning
  22. TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing
  23. Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
  24. Zero-Waste Machine Learning
    ECAI 2024 · Tomasz Trzcinski