Viral TDV paper under fire: only compared against nerfed iBOT and DINO, doesn't scale
gabriberton · x · 2026-11-07
A critique of the viral TDV paper "You Don't Need Strong Assumptions": it only compares against nerfed versions of iBOT and DINO (not the real DINO) — and still loses to them. TDV also doesn't scale to larger datasets, though the author credits the paper's honesty on this point.
Related event: Viral TDV Paper Questioned Over Weakened Baselines and Scalability(3 posts)→
More from Research
- GLASS preprint teaser: graph-led LLM-assisted scoring of open-ended responses without human coding — GolinoHudson · 2026-11-07
- LLMs can read and patch weights, but 20 fine-tuning steps erase the edits — kevinpl07 · 2026-11-07
- FlexiTac-Gen launches: AI-agent-assisted tool to design custom tactile sensors, accepted to CoRL 2026 — Haoyu_Xiong_ · 2026-11-07
- PolicyIK: NYU trains RL for inverse kinematics on a real arm, hitting 0.5mm median error — Lianhuiq · 2026-11-07
- Weight-space programming vs LoRA on 4 bugs: precise one-neuron patches that don't persist — kevinpl07 · 2026-11-07
- Microsoft Research's Code Video Model generates video from editable code, scoring 85.82 vs VACE's 80.59 — jiqizhixin · 2026-11-07