Upcoming Conferences: 2026 and 2027
The AI and ML community continues to grow rapidly. Here are key conferences to watch in the coming years.
NeurIPS 2026
- Dates: December 6–12, 2026
- Location: Sydney, Australia
- Focus: Neural information processing, deep learning, and AI safety
ICML 2026
- Dates: July 6–11, 2026
- Location: COEX Convention & Exhibition Center, Seoul, South Korea
- Focus: Machine learning theory, algorithms, and applications
ICLR 2027
- Dates: TBD
- Location: TBD
- Focus: Deep learning representations and optimization
CVPR 2027
- Dates: TBD
- Location: TBD
- Focus: Computer vision and pattern recognition
Historical Archive
2025
Defining Theme: The rise of multimodal AI and agentic systems. Breakthroughs included advanced models that process text, images, and audio together, plus early agentic frameworks for autonomous decision-making.
2024
Defining Theme: Scaling laws and efficient training. Key papers showed how larger models with better data yield exponential improvements, alongside techniques for training on limited compute.
2023
Defining Theme: The explosion of large language models. GPT-4 and similar models demonstrated unprecedented capabilities in reasoning, coding, and creativity, sparking debates on AI safety and alignment.
2022
Defining Theme: Transformers and self-supervised learning. Models like BERT and GPT-3 dominated, with advances in pre-training on massive datasets without labeled data.
2021
Defining Theme: Deep learning for vision and language. CLIP and DALL-E showed how joint training on images and text unlocks new applications in generation and understanding.
2020
Defining Theme: Adaptation to virtual formats. The pandemic forced conferences online, leading to innovations in virtual collaboration and broader accessibility.
2019
Defining Theme: GANs and adversarial learning. Generative adversarial networks reached maturity, enabling realistic image synthesis and opening doors to unsupervised learning.