Learning Algorithm Benchmarks and Ablations
Portrait · A0 / A1 / 36 × 48
An original ICML research poster example, “Learning Algorithm Benchmarks and Ablations”, in a portrait composition (A0, A1, 36 × 48) and a separate 48 × 36 landscape composition. These are FigPad presentation designs, not official conference templates. Sign in to download; each download uses 1 credit.
Portrait · A0 / A1 / 36 × 48
Landscape · 48 × 36
Describe datasets, baselines, evaluation measures and experimental settings before presenting a comparison. Keep an ablation panel distinct from the headline benchmark and explain which variable changed. Use captions to state what a result supports, and keep scale, units and ordering consistent across the evaluation graphics.
Use the current event or institution instructions for board dimensions, orientation, submission format and deadlines. The conference name does not determine a printing specification. Select the requested size, replace all demonstration content in PowerPoint and check author details, captions and references. Inspect margins and image clarity in the exported PDF before sending it to print.
Check your conference or institution’s requirements first. A0 and A1 use metric paper sizes; 36 × 48 is portrait and 48 × 36 is landscape. Each template includes editable text and figure placeholders to replace in PowerPoint.
Sign in to download templates. Each download uses 1 credit, and the same file again within 24 hours is not charged. AI generation uses your plan’s existing credit rules.