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ICML Scientific Poster Design Examples

Scientific poster design examples from ICML — author-made conference posters you can study for layout, figure placement, and reading order. International Conference on Machine Learning (ICML) posters from the Paper2Poster dataset.

All conferencesNeurIPSICMLICLR

37 posters

Transformers, parallel computation, and logarithmic depth — ICML 2024 posterICML2024

Transformers, parallel computation, and logarithmic depth

ICML 2024

Neural Tangent Kernels for Axis-Aligned Tree Ensembles — ICML 2024 posterICML2024

Neural Tangent Kernels for Axis-Aligned Tree Ensembles

ICML 2024

Collective Certified Robustness against Graph Injection Attacks — ICML 2024 posterICML2024

Collective Certified Robustness against Graph Injection Attacks

ICML 2024

A Context-Integrated Transformer-Based Neural Network for Auction Design — ICML 2022 posterICML2022

A Context-Integrated Transformer-Based Neural Network for Auction Design

ICML 2022

DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks — ICML 2022 posterICML2022

DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks

ICML 2022

Learning to Reach Goals via Diffusion — ICML 2024 posterICML2024

Learning to Reach Goals via Diffusion

ICML 2024

GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model — ICML 2024 posterICML2024

GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model

ICML 2024

All in a Row: Compressed Convolution Networks for Graphs — ICML 2023 posterICML2023

All in a Row: Compressed Convolution Networks for Graphs

ICML 2023

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset — ICML 2024 posterICML2024

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

ICML 2024

A Robust Test for the Stationarity Assumption in Sequential Decision Making — ICML 2023 posterICML2023

A Robust Test for the Stationarity Assumption in Sequential Decision Making

ICML 2023

Parallel Sampling of Diffusion Models — ICML 2023 posterICML2023

Parallel Sampling of Diffusion Models

ICML 2023

Mechanistic Mode Connectivity — ICML 2023 posterICML2023

Mechanistic Mode Connectivity

ICML 2023

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network — ICML 2024 posterICML2024

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network

ICML 2024

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning — ICML 2022 posterICML2022

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning

ICML 2022

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation — ICML 2023 posterICML2023

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

ICML 2023

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum — ICML 2023 posterICML2023

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum

ICML 2023

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval — ICML 2022 posterICML2022

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

ICML 2022

Agnostic Learnability of Halfspaces via Logistic Loss — ICML 2022 posterICML2022

Agnostic Learnability of Halfspaces via Logistic Loss

ICML 2022

Towards Unbiased Gravitational-Wave Parameter Estimation using Score-Based Likelihood Characterization — ICML 2023 posterICML2023

Towards Unbiased Gravitational-Wave Parameter Estimation using Score-Based Likelihood Characterization

ICML 2023

Equivariant Polynomials for Graph Neural Networks — ICML 2023 posterICML2023

Equivariant Polynomials for Graph Neural Networks

ICML 2023

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost — ICML 2024 posterICML2024

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost

ICML 2024

Unveiling Privacy, Memorization, and Input Curvature Links — ICML 2024 posterICML2024

Unveiling Privacy, Memorization, and Input Curvature Links

ICML 2024

Inverse Transition Learning for Characterizing Near-Optimal Dynamics in Offline Reinforcement Learning — ICML 2023 posterICML2023

Inverse Transition Learning for Characterizing Near-Optimal Dynamics in Offline Reinforcement Learning

ICML 2023

VectorMapNet: End-to-end Vectorized HD Map Learning — ICML 2023 posterICML2023

VectorMapNet: End-to-end Vectorized HD Map Learning

ICML 2023

Moccasin: Efficient Tensor Rematerialization for Neural Networks — ICML 2023 posterICML2023

Moccasin: Efficient Tensor Rematerialization for Neural Networks

ICML 2023

How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability? — ICML 2024 posterICML2024

How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability?

ICML 2024

Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker — ICML 2023 posterICML2023

Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker

ICML 2023

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration — ICML 2024 posterICML2024

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration

ICML 2024

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling — ICML 2024 posterICML2024

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

ICML 2024

A Geometric Framework for Understanding Memorization in Generative Models — ICML 2024 posterICML2024

A Geometric Framework for Understanding Memorization in Generative Models

ICML 2024

Data-efficient Large Vision Models through Sequential Autoregression — ICML 2024 posterICML2024

Data-efficient Large Vision Models through Sequential Autoregression

ICML 2024

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning — ICML 2024 posterICML2024

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning

ICML 2024

A Rate-Distortion View of Uncertainty Quantification — ICML 2024 posterICML2024

A Rate-Distortion View of Uncertainty Quantification

ICML 2024

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms — ICML 2023 posterICML2023

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms

ICML 2023

Scaling Spherical CNNs — ICML 2023 posterICML2023

Scaling Spherical CNNs

ICML 2023

Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching — ICML 2024 posterICML2024

Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching

ICML 2024

Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection — ICML 2023 posterICML2023

Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection

ICML 2023