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Core AI

3,800 papers (63 classified directly here)

Subtopics

Computer Vision (2,278) Multimodal Learning (1,266) Efficient Computing (180) Interpretability (74) Multi-Modal Learning (55) Foundation Models (35)

Papers per year

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14
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Papers (including subtopics)

Relative Uncertainty Learning for Facial Expression Recognition NIPS 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision NIPS 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NIPS 2021
Compressive Visual Representations NIPS 2021
Adder Attention for Vision Transformer NIPS 2021
Chasing Sparsity in Vision Transformers: An End-to-End Exploration NIPS 2021
XCiT: Cross-Covariance Image Transformers NIPS 2021
Techniques for Symbol Grounding with SATNet NIPS 2021
SOFT: Softmax-free Transformer with Linear Complexity NIPS 2021
SOLQ: Segmenting Objects by Learning Queries NIPS 2021
Learning to Compose Visual Relations NIPS 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing NIPS 2021
Efficient Training of Visual Transformers with Small Datasets NIPS 2021
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation NIPS 2021
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers NIPS 2021
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning NIPS 2021
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation NIPS 2021
Machine versus Human Attention in Deep Reinforcement Learning Tasks NIPS 2021
Re-ranking for image retrieval and transductive few-shot classification NIPS 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games NIPS 2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection NIPS 2021
No RL, No Simulation: Learning to Navigate without Navigating NIPS 2021
Are Transformers more robust than CNNs? NIPS 2021
Interpretable agent communication from scratch (with a generic visual processor emerging on the side) NIPS 2021
Passive attention in artificial neural networks predicts human visual selectivity NIPS 2021